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    DESCRIPTION

    Job Summary/Basic Function:
    The Nath laboratory in the Arthritis and Clinical Immunology research program is seeking a highly motivated, self-starter staff-scientist/post-doctoral level with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of the systemic lupus erythematosus, an autoimmune diseases. Successful candidates will be proficient in wide range of contemporary molecular biology techniques such as, high-throughput sequencing of DNA, RNA, and methylation, ChIP-Seq, ChIP-qPCR, Single cell genomics, flow cytometry, cloning, cell culture etc. Experience in genome CRISPR/Cas9 or similar approaches will get preference. Competitive individuals will also have some experience in the analysis of genetic data, high-throughput sequencing data and the use of bioinformatics software. OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy. OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.

    REQUIREMENTS

    Minimum Qualifications:
    Ph.D., M.D., or Ph.D./M.D. A candidate should have a doctoral degree in molecular biology, genetics, biotechnology, bioinformatics, or related fields. Experience in genomics, cloning and functional characterization of genes is required. Knowledge of statistical genetic methods for gene-mapping for complex traits, and computer programming skills (e.g. familiarity with UNIX-like OS) will get preference.

    Minimum Degree Required:
    Doctorate

    Preferred Qualifications:
    The successful applicant is expected to have a strong interest in genetics of complex traits and will have experience in both the application/implementation of established methods for high throughput molecular biology techniques and genetic association studies.

    Physical Demands:
    Regularly required to stand, use manual dexterity, talk or hear; Frequently required to walk and reach with hands and arms; occasionally sit; frequently lift and/or move up to 50 pounds; vision abilities include close vision, color vision, depth perception and ability to adjust focus. Potential exposure to fumes, airborne particles, or rodent dander. May work with toxic, caustic chemicals, radioactive materials, liquid nitrogen, human tissue or blood. Potential risk of electrical shock. Occasional exposure to cold 4C, and/or extreme cold -80C from freezers. Noise level is usually moderate.

    TERMS

    Position Type: Scientific
    Classification: Ongoing
    Status: Full-Time

    HOW TO APPLY

    To apply, visit apptrkr.com/2167999

    Posting Number: 000288
    Department: Arthritis & Clinical Immunology – Nath

    Copyright ©2021 Jobelephant.com Inc. All rights reserved.

    www.jobelephant.com
    jeid-8753846b550edd4eaa0bb7e4fcf7f830

    DESCRIPTION

    Job Summary/Basic Function:
    The Nath Lab is seeking a highly motivated, hardworking and organized team player (Post-doctoral Fellow / Assistant Staff Scientist) to join our effort to understand genetic mechanisms of lupus, an autoimmune disease. Using whole genome search, our lab has identified several genes/genetic variants, associated with lupus susceptibility. Now we are trying to understand the specific functional effects of those lupus associated genetic variants, using cell lines, patients-derived primary immune cells or tissues. We will apply various modern techniques for studying features of three-dimensional (3D) genomic organization such as 3C, Hi-C, ChIP-Seq, and genome editing using CRISPR/Cas9. Candidate will be involved in the analysis of human genetic data and the development of computational methods, which requires a mix of computational skills, statistical knowledge, creativity and biological insight. Specifically, candidate will identify novel therapeutic targets and biomarkers from the investigation of human genetic variation (GWAS, Next Gen Sequencing) with disease status and intermediate variables using cutting-edge techniques in Statistical Genetics. Candidate will develop and apply methods for the integration of GWAS summary results with other types of data e.g. eQTL, mQTL, functional genomic annotations, gene networks, estimation/partitioning of heritability, Mendelian Randomization to understand causal direction, and fine mapping. Candidate will collaborate with experimental and clinical scientists to address target mechanism specific questions and seek to support investment decision making with genomic insights. OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy. OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.

    REQUIREMENTS

    Minimum Qualifications:
    Ph.D. in a biological science or other relevant area, M.D., or equivalent. Knowledge of statistical genetic methods for gene-mapping for complex traits, and computer programming skills (e.g. familiarity with UNIX-like OS, and at least one programming language) are required.

    Minimum Degree Required:
    Doctorate

    Preferred Qualifications:
    Prefer candidates to have a doctoral degree in epidemiology, biostatistics, genetics, bioinformatics, statistics, computer science or related fields. The successful applicant is expected to have a strong interest in genetic epidemiology of complex traits and will have experience in both the application/implementation of established methods for genetic linkage and association studies, and in methods development. Experience in genomics, cloning and functional characterization of genes will get preference.

    Physical Demands:
    Regularly required to stand, use manual dexterity, talk or hear; Frequently required to walk and reach with hands and arms; occasionally sit; frequently lift and/or move up to 50 pounds; vision abilities include close vision, color vision, depth perception and ability to adjust focus. Potential exposure to fumes, airborne particles, or rodent dander. May work with toxic, caustic chemicals, radioactive materials, liquid nitrogen, human tissue or blood. Potential risk of electrical shock. Occasional exposure to cold 4C, and/or extreme cold -80C from freezers. Noise level is usually moderate.

    TERMS

    Position Type: Scientific
    Classification: Ongoing
    Status: Full-Time

    HOW TO APPLY

    To apply, visit apptrkr.com/2167685

    Posting Number: 000258

    Department: Arthritis & Clinical Immunology – Nath

    Copyright ©2021 Jobelephant.com Inc. All rights reserved.

    www.jobelephant.com
    jeid-a540eb9301cb6c4c92d02b11c6104e5d

    BACKGROUND

    We are seeking an exceptional and enthusiastic candidate to champion a new partnership in computational toxicology and chemical risk assessment between the UK Food Standards Agency (FSA), UK Health and Safety Executive's Science and Research Centre, and the University of Birmingham. The successful applicant will contribute to the creation and translation of knowledge about the application of New Approach Methodologies (NAMs) to the risk assessment of food-related chemicals, with the specific goal to improve and streamline the current risk assessment processes at the FSA.

    Over a 4-year period, the post holder will undertake a range of collaborative activities at each of the three partner locations, including an extensive scoping of the applicability of computational NAMs to the FSA as well as case studies to demonstrate the computational approaches. The first case study will implement a workflow for analysing in vitro 'omics' toxicity data using benchmark dose modelling and physiologically-based kinetic (PBPK) modelling to derive health-based guidance values, including to investigate the uncertainties associated with such an approach. See Job Description, below, for further details of the role.

    A considerable proportion of the role can involve remote working, with travel to each of the partner locations required for particular activities within the project. The successful applicant will benefit from extensive experience provided by the supervisory team across the three partners, including deep knowledge of computational NAMs through to the regulatory landscape for food-related chemicals.

    Applicants should hold a first degree in (bio)chemistry, mathematics, statistics or computer science, and a PhD or equivalent experience in one of these fields applied to toxicology. They should have considerable experience in the computational analysis of omics data, and demonstrated success at championing their research speciality at a national level.

    RESPONSIBILITIES

    • To champion the application of New Approach Methodologies (NAMs) – in particular computational toxicology utilising molecular mechanistic data – for the risk assessment of food-related chemicals, creating a hub at the FSA for the interested community.
    • To be a conduit for the multidirectional flow of knowledge and information between the three partners: the Food Standards Agency (FSA), University of Birmingham (UoB) and the Health and Safety Executive's Science and Research Centre (HSE SRC).
    • To deeply scope, understand and assimilate the FSA's problem space in chemical risk assessment in order to help develop a strategy to utilise computational approaches in chemical risk assessment at the FSA, including mapping other related national and international activities.
    • To understand, research and implement new computational methods and modelling approaches working with the scientists at UoB and HSE SRC to more reliably risk assess food-related chemicals, translating knowledge to the FSA.
    • To undertake collaborative case studies with the FSA, HSE SRC and UoB to clearly demonstrate the value of NAMs and computational approaches, including implementing a hazard assessment workflow that integrates in vitro 'omics' toxicity data streams, benchmark dose modelling and physiologically-based kinetic (PBPK) modelling, and to investigate the uncertainties associated with such approaches.
    • To contribute to the wider understanding of the use of NAMs in chemical risk assessment by disseminating findings from this research to national and international
    • Deeply understand the state-of-the-art in the application of New Approach Methodologies (NAMs) in chemical risk assessment, in particular in the context of omics data streams, benchmark dose modelling and physiologically-based kinetic (PBPK) modelling, including via literature reviews, reading reports and research interviews.
    • Deeply understand the applicability of NAMs to chemical risk assessment, in particular in the context of assessing the safety of food-related chemicals in the UK, including via literature reviews, reading reports and research interviews.
    • Scope, understand and assimilate information on the regulation of food-related chemicals in the UK and Europe, with the assistance of the FSA supervisory team.
    • Map the FSA's problem space in chemical risk assessment and develop a strategy to utilise NAMs to improve the reliability, throughput and/or cost-effectiveness of the safety assessments of chemicals, working with the whole supervisory team.
    • As part of one or more case studies, undertake extensive computational analyses of omics (and other molecular mechanistic) data streams, in particular benchmark dose modelling to derive in vitro points of departure.
    • As part of one or more case studies, conduct PBPK modelling to enable quantitative in vitro to in vivo extrapolation (QIVIVE) of chemicals, enabling the in vitro molecular points of departure to be extrapolated to in vivo health-based guidance values.
    • Document assimilated information and results, from the desk based scoping work and the computational analyses, into well-structured, rigorous scientific reports.
    • Disseminate research findings via internal reports, journal publications and website(s), and via posters and seminars at national and international meetings in order to contribute to the wider understanding and uptake of NAMs in chemical risk assessment.
    • Train and assist other scientists in understanding how NAMs can be applied in the risk assessment of food-related chemicals.
    • Contribute to writing bids for research funding.
    • Apply knowledge in a manner which most effectively translates state-of-the-art computational approaches to improve the quality of chemical risk assessment.
    • Deal with problems that may affect the achievement of the research objectives and deadlines.
    • Promote equality and values diversity acting as a role model and fostering an inclusive working culture.
    • Contribute to the planning and organising of the research programme with the supervisory team at UoB, FSA and the HSE SRC.

    REQUIREMENTS

    Person Specification:
    • First degree in (bio)chemistry, mathematics, statistics or computer science, and a PhD or equivalent experience in one of these fields applied to toxicology.
    • High level of experience in the computational analysis of transcriptomics, metabolomics and/or molecular mechanistic toxicity data.
    • Familiarity with mathematical modelling approaches and ability to conduct modelling in the context of molecular toxicology.
    • Familiarity with approaches and methods for assessing the safety of chemicals to human and environmental health, and familiarity with Adverse Outcome Pathways (AOPs).
    • Familiarity with regulations governing the safety of chemicals to human health.
    • High level analytical capability.
    • Hands-on skills in bioinformatics, data science or data analytics.
    • Experience in computer programming (e.g. R-language).
    • Excellent ability to communicate complex information clearly.
    • Excellent ability to work within a diverse team.
    • Well organised and experience in managing multiple projects simultaneously.
    • A high level of accuracy and attention to detail.
    • Ability to work on own initiative, manage time effectively, progress tasks concurrently and work to deadlines, including the ability to work remotely.
    • Ability to assess resource requirements and use resources effectively, including extensive use of remote resources.

    LOCALE

    Remote working possible, with travel to partner locations required for specific project activities, including:
    • School of Biosciences, University of Birmingham, Birmingham, UK
    • Food Standards Agency, London, UK
    • Health and Safety Executive (HSE) Science and Research Centre, Buxton, UK

    COMPENSATION

    • Full-time starting salary: normally in the range £30,942 to £33,797

    HOW TO APPLY

    Please apply directly via the University of Birmingham jobs site: bham.taleo.net/care[...]00074

    DEADLINE

    22nd March 2021

    (Actual title dependent upon experience)

    BACKGROUND

    Universal Sequencing Technology Corporation, a biotech company headquartered in greater Boston with a branch in San Diego, is looking for a Bioinformatics software engineer to join the team. This position is a unique opportunity to work on company's novel technology for the Next Generation Sequencing (NGS) platforms that enables many previously unachievable applications. This person will lead the development of genomic data analysis algorithms and numerical data simulation to solve challenge genomics problems in one or more of the NGS bioinformatics areas, such as haplotype phasing, structure variation detection, de novo assembly, metagenomics, and target sequencing/clinical bioinformatics as well as single cell sequencing analysis. The ideal candidate will have strong background in NGS data analysis using techniques such as sequence alignment, text indexing and searching, genome assembly, graph algorithms, combinatorial optimization and probability theory.

    RESPONSIBILITIES

    Duties and Responsibilities:
    • Analyze internally generated sequencing data.
    • Work with internal and/or external biologists to understand applications and requirements.
    • Design and develop new data analysis pipeline processes using internally developed algorithms.
    • Design and develop software for applications in haplotype phasing, Structural Variation detections and de novo assembly.
    • Investigate and integrate open source software for use with our proprietary technologies.
    • Work with internal and/or external users to develop and support customized solutions based on our core products.
    • Actively participate in all phases of SDLC, including development, testing, bug fixing and user support.
    • Write and maintain good documentations, such as, software specifications, architecture designs, testing plans and deployment plans.
    • Other work and project assignments as required.

    REQUIREMENTS

    In addition to strong programming skills, the candidate must have a keen interest in biology and working with real-world data. Strong interpersonal skills, a desire to understand genomics researcher needs and the ability to communicate results clearly are a must. This position will interact closely with colleagues in molecular biology.

    Desired Skills:
    • Strong programming experience in C/C++, Java, Python, Perl, Shell scripting
    • Strong experience with NGS DNA sequence data analysis pipelines
    • Strong experience developing bioinformatics algorithms in NGS genomic data analysis
    • Strong experience developing tools for numerical data analysis and simulation
    • Hands on experience with NGS data analysis tools (e.g. bwa, samtools, SNP Graph, RefHap, HapCut, Bandage, etc.)
    • Experience building and releasing commercial or open source software
    • Experience and/or strong knowledge in cloud computing (AWS) a plus.

    REQUIREMENTS

    • PhD in computer science, bioinformatics or related field with 0-3 years of postdoctoral experience
    • MSc in computer science, bioinformatics or related field with at least 5 years of post-graduate experience
    • Experience in any of the NGS bioinformatics areas such as haplotype phasing, structure variation detection, de novo assembly and metagenomics as well as target sequencing and clinical bioinformatics
    • Experience in single cell sequencing analysis is a plus.
    • Work well both independently and in a team environment
    • Ability to work in a fast-paced and quickly changing environment

    LOCATION

    Canton, Massachusetts 02021, United States

    COMPENSATION

    DOE

    HOW TO APPLY

    Apply Here: www.click2apply.net/da58[...]s1jlk

    PI130382583

    DEADLINE

    3/17/2021

    RESPONSIBILITIES

    Duties and Responsibilities:
    The Department of Bioinformatics and Genomics at the University of North Carolina at Charlotte seeks a post-doctoral fellow to work under the supervision of Dr. Anthony Fodor. The successful applicant will work on NIH supported projects that investigate the role of the human associated microbiota in health and disease. Primary responsibilities focus on data analysis of 16S, whole-genome metagenome sequences and metabolomics datasets and development of new tools and algorithms.

    Other Work/Responsibilities:
    Ability to work as a member of a team and take on new duties to achieve overall team goals.

    REQUIREMENTS

    Minimum Experience/Education:
    The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.)

    Departmental Preferred Experience, Skills, Training/Education::
    The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.). Knowledge of a high-level programming language (e.g. Java or Python) is required. Experience with genomic or meta-genomic data analysis and knowledge of statistical modeling and R is preferred.

    TERMS

    Proposed Hire Date: 02/01/2021
    Expected Length of Assignment: 12 months
    Vacancy Open To: All Candidates
    Position Designation: Post Doc
    Employment Type: Temporary – Part-time
    Hours Per Week: 40

    LOCALE

    The University of North Carolina at Charlotte
    College of Computing and Informatics
    Bioinformatics and Genomics Department
    Work Unit: Bioinformatics Research Center
    Work Location: Bioinformatics Building, UNC Charlotte
    Division: Academic Affairs

    COMPENSATION

    Pay Rate: $47,476 min

    HOW TO APPLY

    Apply online: jobs.uncc.edu/postings/33518

    DEADLINE

    Posting Open Date: 01/25/2021
    Posting Close Date: 01/25/2022

    RESPONSIBILITIES

    The Senior Genomics Bioinformatics Programmer is responsible for the implementation and overall supervision of bioinformatics analyses pipelines necessary for interpretation of assays that are based on massively parallel sequencing technologies. In this capacity, the incumbent will interact with teams of experimental and computational scientists and trainees who work together to design, execute and analyze complex experiments investigating transcriptional mechanisms that control immune cell development and function. Current assays include RNA-seq, single cell RNA-seq, ChIP-Seq, ATAC-Seq, and three-dimensional chromatin conformation capture assays.

    The incumbent will maintain and update 'best practice' computational methods and provide training and oversight to members of the laboratory in the application of assay-specific bioinformatics tools. Will interface with technical support at the San Diego Super Computer Center to maintain laboratory-specific computational infrastructure necessary for data storage and analysis. As necessary, will generate new software tools and/or provide direction to trainees to develop such tools for problems lacking appropriate analytical methods. Additionally, they will be involved in writing primary research publications and grant applications and will be encouraged to attend and contribute to scientific meetings on related topics.

    REQUIREMENTS

    Minimum Qualifications:
    • Bachelor's Degree in biological science, computational/programming, or related area and/or; equivalent experience/training.
    • A minimum of five (5+) or more years of senior-level bioinformatics experience in a research setting.
    • In-depth knowledge of bioinformatics methods, applications programming, web development and data structures. Experience with programming languages (Python and R are required, strong candidates will also have experience with Perl, C#, C++, or Java). Demonstrated experience using UNIX/Linux.
    • In-depth knowledge of bioinformatics programming design, modification and implementation. Experience in development of complex bioinformatic, knowledge-based application software. Ability to analyze scientific technical information.
    • Advanced understanding of relational databases, web interfaces and operating systems. Proven ability to download high-throughput data sets, trouble shoot sequencing data, conduct standard statistical analysis and data visualization.
    • Advanced project management skills. Proven ability to organize, prioritize and manage multiple project activities effectively and deal with changing priorities.
    • Thorough knowledge of modern biology and applicable field of research. Working knowledge of biological systems including transcription, genetics, and epigenetics.
    • Proven interpersonal skills in order to work with both technical and non-technical personnel at all levels in the organization, including senior project leadership. Proven ability to receive input and integrate ideas from colleagues to develop computational solutions that meet the needs of the laboratory.
    • Advanced ability to interface with management on a regular basis. Ability to communicate and deal effectively and productively with people at all levels of responsibility in various functional areas.
    • In-depth knowledge of web, application and data security concepts and methods.
    • Ability to communicate technical information in a clear and concise manner. Ability to communicate and teach complex concepts to scientists from various fields. Excellent communication skills for oral presentations, written reports, and one-on-one training.
    • Ability to lead a team, meet deadlines and demonstrate problem solving skills. Ability to work independently, as well as part of a team, establishing and maintaining good working relationships with P.I., supervisor, postdoctoral scholars, and other members of the research group.
    Preferred Qualifications:
    • Ph.D Degree or equivalent experience/ training in bioinformatics, computer science or related field with programming and server experience or related combination of education and experience.
    • Experience with bioinformatics and metagenomics software and resources for analyzing high-throughput sequencing datasets.
    Special Conditions:
    • Employment is subject to a criminal background check.
    • Occasional evenings and weekends may be required.

    COMPENSATION

    Salary Range: Commensurate with Experience

    HOW TO APPLY

    Apply online: 50.73.55.13/coun[...]93332

    DEADLINE

    Filing Deadline: Open Until Filled

    Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.

    ABOUT US

    UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, and several outpatient clinics. UC San Diego Medical Center in Hillcrest is a designated Level I Trauma Center and has the only Burn Center in the county. We invite you to join our dynamic team!

    POLICY

    UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: www-hr.ucsd.edu/saa/nondiscr.html

    Submitter

    BACKGROUND

    As a Data Scientist you are at the forefront of turning an ever increasing amount of data into insights. With your excellence in cutting-edge data science and passion for finding scalable solutions for tough problems, you contribute to paving the way for an R&D that is driven through data and emerging digital science.

    Embedded in the company's growing Global Computational Biology and Digital Sciences Unit you will have an impact on reinventing R&D, thereby actively contributing to the discovery of breakthrough therapies that will increase human health.

    TASKS & RESPONSIBILITIES

    • You design and build the next-generation of analytics engines and smart assistants based on your strong expertise in data mining, statistics and machine learning.
    • The interactions with users and domain experts from all R&D functions help you to understand problem statements, identify use cases and design data science applications.
    • Furthermore, you collaborate with developers, data engineers, UI/UX designers and architects for the implementation of scalable solutions for our scientists.
    • In addition, you lead the data science part of digital initiatives as a member of a use case team and in collaboration with R&D functions and partners (e.g. IT or external partners).
    • You are looking forward to internalize trends in data science, including input from other industries and explore opportunities for transformative use cases in pharma R&D.
    • Through internal and external networking, collaboration and experimentation, you provide thought leadership to advance the discipline within the organisation.

    REQUIREMENTS

    • PhD in computer sciences, mathematics, physics, bioinformatics or a related life sciences field
    • Several years of relevant work experience in data science, machine learning and in working in multidisciplinary environments
    • Expert knowledge in working with life science data domains
    • Experience in professional handling of large data volumes from various sources
    • Excellent in scientific programming and profound knowledge in statistical analysis software and visualization tools (e.g. R, Python, Spotfire, Tableau, etc.)
    • Strong communicator, open for innovation and a passionate team player
    • Fluent English (written and spoken)

    COMPENSATION

    This is a highly challenging, technical role offering a competitive remuneration package and some great benefits.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Data, Science, Machine, Learning, AI, Statistics, Statistical, Biological, Bioinformatics, Genomics, Analysis, Mathematics, Algorithms, Python, Spotfire, Pharma, Software, Germany

    Submitter

    BACKGROUND

    This is a senior level role working within the Data and Translational Sciences team of a global pharma. The organisation are pushing ahead a digital transformation agenda across the entire company and this is a great opportunity to participate in and drive the innovations that will continue transform the ways in which we gain insights from an ever-growing digital landscape in the use and development of medicines.

    The goal of the Patient Data Analytics team is focused on developing and using advanced analytical approaches in the context of diverse multimodal patient data – to generate insights to inform disease or patient understanding to support new drug target identification, repurposing or indication expansion; population stratification and to support design or interpretation of clinical trials.

    With experience in the application of the appropriate machine learning approaches, and an appreciation of how to acquire and process the appropriate data sources, a successful candidate will support the team in generating impact for the R&D organization in the scope of disease and patient understanding in areas such as: target and drug discovery, indication expansion, disease and patient stratification, prediction of disease course, drug response, safety and in support of clinical trial design/interpretation.

    RESPONSIBILITIES

    • Championing the value of data driven insights with key stakeholders.
    • Delivering advanced analytics AI/ML projects personally or through collaborations internally or externally.
    • Identification of key solutions, tools and methodologies to support the drug development portfolio.
    • Identify and understand relevant data sources that can be used for patient phenotyping studies.
    • Deliver projects in compliance with data governance policies around patient data use.
    • Communication of scientific results inside and outside the team with all relevant stakeholders.
    • Active collaboration with relevant stakeholders across the community (internally and externally) to support the delivery of solutions.
    • Understanding the landscape of relevant AI/ML tools and the cutting edge of evidence generation.
    • Attend conferences and other related events.

    REQUIREMENTS

    • M.Sc. or PhD (preferred, or equivalent) in Mathematics, Computational Biology, Health Data Science or Statistics with experience in the application of analytical approaches to support drug development or clinical development.
    • Experienced in computational analyses of patient-derived data and transformation of analyses into insights, particularly in the context of supporting clinical decision making.
    • Understanding, knowledge and practical experience with a suitable range of statistical, data science and specifically ML/AI based methods, including deep learning.
    • Experience with data cleaning/munging and analysis in the context of health data.
    • Experience interpreting and critically appraising real world evidence (RWE) studies.
    • Experience in the successful delivery of results in coordination with other data scientists and domain experts.
    • Programming skills in appropriate data processing platforms (R and Python are desirable).
    • Practical experience with relevant deep learning frameworks, e.g., Tensorflow, PyTorch.
    • Experienced in using bioinformatic tools and databases for analyzing DNA, RNA or other omics data.
    • Experience in communicating study results in a compelling manner to stakeholders.
    • Experience delivering projects on time and within budget (if applicable).

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, and the opportunity to work with some of the best talent in the industry.

    HOW TO APPLY

    Please contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Principal, Scientist, Data, Science, AI, ML, Clinical, Patient, Healthcare, Statistical, Project, Leadership, Insights, Analysis, Bioinformatics, Genomics, Biology, Pharma, RWE, Tensorflow, UK

    Submitter

    BACKGROUND

    This is a Senior Scientist level role working within the Data and Translational Sciences team of a global pharma. The organisation are pushing ahead a digital transformation agenda across the entire company and this is a great opportunity to participate in and drive the innovations that will continue transform the ways in which we gain insights from an ever-growing digital landscape in the use and development of medicines.

    Within this role you will be part of a dynamic team supporting the discovery and development of innovative cancer treatments and will engage with experts in drug discovery and immuno-oncology to better understand the mechanisms underlying cancer progression and treatment resistance. Relying on state-of-the-art single cell and spatial omics techniques, you will actively contribute to building novel approaches to overcome current therapeutic challenges.

    This position plays an essential role in harnessing Big Data from Discovery and Clinical settings to drive translational decision-making in the company's early (immuno-)oncology portfolio.

    You will align data science capabilities to biological domain understanding to reveal mechanistic insight into disease and drug action. Develop machine learning, including deep learning approaches to predict targets and potential biomarkers and stratify patients. You'll affect the progression of therapeutic projects at all stages of research and phases of clinical development, through the integration, predictive analysis and interpretation of poly-omic data sets.

    RESPONSIBILITIES

    • Provide bioinformatics support for new target identification, target validation, biomarker discovery and patient stratification using omics data.
    • Process, analyse and interpret data from omics studies across the portfolio with a primary focus on immuno-oncology.
    • Collaborate with a diverse team of experts within the company including fellow bioinformaticians, biologists and physicians; communicate and present results and insights to these internal stakeholders as well as external partners.
    • Establish analytical workflows and develop AI methodologies for integrative analysis of poly-omic data.

    REQUIREMENTS

    • PhD (or equivalent) in Bioinformatics, Computer Science, Biology, Molecular Genetics or an equivalent scientific discipline, with significant experience in computational biology or data science.
    • A thorough understanding of fundamental concepts in statistics, data mining, machine learning, and visualization of high-dimensional biological data types and the standard tools used in these domains.
    • Expertise in integrative analysis of multiple omic data types including advanced statistical and machine learning / deep learning methods.
    • Experience of operating in a HPC Unix environment, cloud-based computational and/or pipelining platforms, and proficiency in a range of programming languages common to the bioinformatics community such as Python or R.
    • Ability to interpret and communicate efficiently the outcomes of analytical work to a non-expert audience in order to influence decision-making.
    • Good understanding of biology in general and affinity with the most prevalent disease mechanisms in oncology/immuno-oncology.

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, and the opportunity to work with some of the best talent in the industry.

    HOW TO APPLY

    Please contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Bioinformatics, Senior, Scientist, Immunology, Oncology, Cancer, Analysis, Bioinformatics, Genomics, Single-Cell, Omics, Python, Machine, Learning, AI, Statistical, Target, Discovery, Python, UK

    Submitter

    BACKGROUND

    Global Computational Biology and Digital Sciences

    This is a great opportunity for a talented and driven data expert to join a global computational biology and digital sciences team looking to turn data into insights for the discovery and evaluation of new therapeutic concepts in Discovery Research.

    You'd be joining one of the global top 20 Pharma companies who are looking to accelerate and incubate the digital transformation of the Innovation Unit through cutting edge digital sciences. They run a very exciting portfolio of digital initiatives and work across the Innovation Unit and the IT organization. It's a great chance for someone to employ data-driven digital innovation to boost the discovery and development of new medicines.

    As Innovation Unit Data Steward R&D you are accountable for long-term quality of the data assets in Research and preclinical Development. With your excellence in sustainable data management, you establish a data foundation as cornerstone along the journey towards an R&D that is driven through data and emerging digital science.

    Embedded in the growing Global Computational Biology and Digital Sciences Unit you will have an impact on reinventing R&D, thereby actively contributing to the discovery of breakthrough therapies that will increase human health.

    RESPONSIBILITIES

    Tasks & Responsibilities
    • As Innovation Unit Data Steward R&D you represent a crucial role in the execution of digital strategy ensuring long-term value of data assets according to FAIR principles.
    • You lead the implementation of an IU-wide data foundation in close collaboration with IT-teams and business subject matter experts.
    • You ensure cross-functional linking and alignment of data concepts, vocabularies and taxonomies to ensure a seamless connection of data from different domains.
    • By nursing and contributing to a community of data stewards across IU functions you drive the adherence to overarching data governance guidelines and principles as well as alignment of terminologies.
    • In addition to the tasks above, you manage and facilitate access to relevant data outside the IU.

    REQUIREMENTS

    • PhD in Biology, Chemistry, Bioinformatics, Information Sciences or a related field, alternatively completed Master studies with several years of professional experience
    • Extensive experience in multidisciplinary and international environments as well as proven expertise in leading digital projects with several team members
    • Excellent communication, moderation and intercultural skills as well as the ability to convince an audience of a desired strategy
    • In-depth understanding of data domains that are relevant for pre-clinical and clinical drug discovery and development
    • Profound understanding of data integration and management concepts like e.g. semantic data integration, FAIR principles or similar
    • Familiarity with IT data infrastructure concepts like data lake and/or graph data bases

    COMPENSATION

    This is a highly challenging, technical role offering a competitive remuneration package and some great benefits such as life insurance, pension, bonus scheme and relocation allowance.

    HOW TO APPLY

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Data, Database, Management, Digital, Assets, UI, Governance, Pharma, Bioinformatics, Biology, Integration, Semantic, Lakes, Graphs, Scientific, Germany

    DESCRIPTION

    Do you want to be part of an international consortium committed to evaluate the impact of genetic variation in human transporters at the interface between biological systems and the environment?

    We are looking for a bioinformatician / data scientist to build a resource for human genetics data on human transporters, incorporating data mined from public databases, data computed by machine learning analyses, as well as systems biology research data generated in large scale to functionally assess genetic variants in human transporters.

    You will work in the Giulio Superti-Furga group (CeMM, Vienna) as part of the REsolution consortium, a spin-off project of RESOLUTE (re-solute.eu), comprising two pharmaceutical companies, one biotech and six academic research institutions. You will manage the research data for REsolution, support data analysis with setting up automated workflows, and set up a web-based database for sharing the results – all in collaborative exchange with the data science team of RESOLUTE.

    Together we want to manifest the biomedical impact of human transporter research coupling state-of-the-art experimental and computational approaches.

    REQUIREMENTS

    Requirements and desired qualifications:
    • PhD in bioinformatics, computer science or similar experience
    • Experience with relational database management systems
    • Solid skills in R, Python and Linux
    • Experience with systems biology research data
    • Good understanding of the FAIR data concepts
    • Solid data visualization skills
    • Basic knowledge on web development
    • Experience with data workflow management tools is an advantage
    • Experience in big data and cloud computing is an advantage
    • Ability to work in a team and pursue goals in a focused way
    • Excellent written / oral communication skills in English

    TERMS

    Position: type Full-time employee
    Start of work: 01.06.2021

    COMPENSATION

    We offer:
    This is a fantastic opportunity for you to join an exciting project in an inspiring and dynamic setting. In return, we are offering an excellent employee benefits package including health insurance, company health care, competitive holiday allowance, daily bonus for the in-house cafeteria and a monthly gross salary of at least EUR 3,889.50 (following the recommendations of FWF). We offer a great work environment for passionate scientists and we are proud to be an international, diverse group. The contract for the position will be initially limited to 2 years, matching the project's duration.

    HOW TO APPLY

    CeMM aims to promote equality of opportunity for all with the right mix of talent, competences and potential. We welcome applications from candidates with diverse backgrounds.

    Please apply online here: cemm.jobbase.io/job/f4syxe9p with a motivation letter explaining why you are the ideal candidate for this position, your curriculum vitae and contact details of 2-3 referees.

    Responsible: Memo Mokhles

    DEADLINE

    Application deadline is March 8th, 2021 and the starting date will be June 1st, 2021.

    ABOUT US

    The REsolution consortium:
    Starting on June 1st of 2021, the REsolution consortium is supported by the Innovative Medicines Initiative (IMI, www.imi.europa.eu) and consists of 9 partners from academia and the pharmaceutical industry. The consortium is coordinated by the Superti-Furga laboratory and builds on the successful work of the RESOLUTE consortium, which focuses on the systematic deorphanization of SLCs and is creating open-access tools, high-throughput assays and omics data. While RESOLUTE is focused on basic aspects of SLC biochemistry and biology, REsolution will add a medical genomics dimension. REsolution will assemble human SLC genetic information, annotate the data within the RESOLUTE knowledgebase, study the structure-activity relationship for selected SLC variants, and use deep mutagenesis and artificial intelligence to develop better models for the interpretation of SLC genetic variation. Contextualization of SLCs in the human medical genetics landscape is an important step towards the establishment of the medically relevant but understudied SLC family as a tractable target class.

    The Superti-Furga laboratory:
    The Superti-Furga group (superti-furga-lab.at) is composed of an international team of more than 30 scientists working together on understanding drug function at the molecular level. The laboratory investigates how cells and biological systems in general manage access to the environment through cellular transport. In particular how access to nutrients and energy source is tuned to metabolism and need of individual cell types. Moreover, the lab has pioneered approaches for functional precision medicine. The laboratory operates on a truly multidisciplinary basis and involves functional genomics and proteomics, structural analysis, chemical biology, high-content imaging, bioinformatics and physiology, reflecting the blend of expertise of the laboratory members.

    The Institute:
    CeMM (cemm.at) is a flagship institute for biomedical research in the heart of Europe, Vienna. CeMM is committed to highest scientific standards. The environment is very collaborative, dynamic and international. One of CeMM's advantages is to be in close proximity to the Vienna Medical University Campus and the General Hospital (AKH). This allows the fruitful interaction of basic scientists with clinicians, and the use of models and cutting-edge technology to disease-relevant biological questions. According to a study by The Scientist, CeMM is ranked as the best European place to work in Academia 2012, internationally CeMM appears at the fourth place. The official language at CeMM is English, and more than 48 different nationalities are represented at the institute.

    DESCRIPTION

    Do you want to be part of an international consortium committed to evaluate the impact of genetic variation in human transporters at the interface between biological systems and the environment?

    We are looking for a computational biology / bioinformatics scientist to mine, evaluate and analyze human genetics data on human transporters as well as implement state-of-the-art statistical models for predicting biomedical effects of genetic variants in human transporters.

    You will work in the Giulio Superti-Furga group (CeMM, Vienna) as part of the REsolution consortium, a spin-off project of RESOLUTE (re-solute.eu), comprising two pharmaceutical companies, one biotech and six academic research institutions. You will be closely working with the Target Sciences unit at Pfizer and in collaborative exchange with the data science team of RESOLUTE.

    Together we want to manifest the biomedical impact of human transporter research coupling stateof-the-art experimental and computational approaches.

    REQUIREMENTS

    Requirements and desired qualifications:
    • PhD in bioinformatics, genetics or similar experience
    • Experience in mining and analyzing medical or population genetics data
    • Experience in application of machine learning / artificial intelligence approaches
    • Strong data visualization skills
    • Solid understanding of basic statistics
    • Solid skills in R, Python and UNIX
    • Publication record in human genetics or bioinformatics
    • Knowledge on advanced statistical approaches is an advantage
    • Experience in structural biology / molecular modelling is an advantage
    • Experience in big data and high-performance computing is an advantage
    • Ability to work in a team and pursue goals in a focused way
    • Excellent written / oral communication skills in English

    TERMS

    Position type: Full-time employee
    Start of work: 01.06.2021

    COMPENSATION

    We offer:
    This is a fantastic opportunity for a bioinformatics scientist to join an exciting project in an inspiring and dynamic setting. In return, we are offering an excellent employee benefits package including health insurance, company health care, competitive holiday allowance, daily bonus for the in-house cafeteria and a monthly gross salary of at least EUR 3,889.50 (following the recommendations of FWF). We offer a great work environment for passionate scientists and we are proud to be an international, diverse group. The contract for the position will be initially limited to 2 years, matching the project's duration.

    HOW TO APPLY

    CeMM aims to promote equality of opportunity for all with the right mix of talent, competences and potential.

    We welcome applications from candidates with diverse backgrounds.

    Please apply online here: cemm.jobbase.io/job/vb47qu41 with a motivation letter explaining why you are the ideal candidate for this position, your curriculum vitae and contact details of 2-3 referees.

    Responsible: Memo Mokhles

    DEADLINE

    Application deadline is March 8th, 2021 and the starting date will be June 1st, 2021.

    ABOUT US

    The REsolution consortium:
    Starting on June 1st of 2021, the REsolution consortium is supported by the Innovative Medicines Initiative (IMI, www.imi.europa.eu) and consists of 9 partners from academia and the pharmaceutical industry. The consortium is coordinated by the Superti-Furga laboratory and builds on the successful work of the RESOLUTE consortium, which focuses on the systematic deorphanization of SLCs and is creating open-access tools, high-throughput assays and omics data. While RESOLUTE is focused on basic aspects of SLC biochemistry and biology, REsolution will add a medical genomics dimension. REsolution will assemble human SLC genetic information, annotate the data within the RESOLUTE knowledgebase, study the structure-activity relationship for selected SLC variants, and use deep mutagenesis and artificial intelligence to develop better models for the interpretation of SLC genetic variation. Contextualization of SLCs in the human medical genetics landscape is an important step towards the establishment of the medically relevant but understudied SLC family as a tractable target class.

    The Superti-Furga laboratory:
    The Superti-Furga group (superti-furga-lab.at) is composed of an international team of more than 30 scientists working together on understanding drug function at the molecular level. The laboratory investigates how cells and biological systems in general manage access to the environment through cellular transport. In particular how access to nutrients and energy source is tuned to metabolism and need of individual cell types. Moreover, the lab has pioneered approaches for functional precision medicine. The laboratory operates on a truly multidisciplinary basis and involves functional genomics and proteomics, structural analysis, chemical biology, high-content imaging, bioinformatics and physiology, reflecting the blend of expertise of the laboratory members.

    The Institute:
    CeMM (cemm.at) is a flagship institute for biomedical research in the heart of Europe, Vienna. CeMM is committed to highest scientific standards. The environment is very collaborative, dynamic and international. One of CeMM's advantages is to be in close proximity to the Vienna Medical University Campus and the General Hospital (AKH). This allows the fruitful interaction of basic scientists with clinicians, and the use of models and cutting-edge technology to disease-relevant biological questions. According to a study by The Scientist, CeMM is ranked as the best European place to work in Academia 2012, internationally CeMM appears at the fourth place. The official language at CeMM is English, and more than 48 different nationalities are represented at the institute.

    Pfizer Worldwide Research, Development and Medical:
    The mission of the Target Sciences unit at Pfizer WRDM is to develop new drug target hypotheses based on human data, and validate such hypotheses using a combination of functional genomics and cell biology. The unit also develops diagnostics for precision medicine. Target Sciences is an active collaborator in several international genetics consortia, as well as other collaborative efforts to accelerate target discovery and selection, and has deep expertise in statistics, genetics, omics and functional validation across multiple disease areas.

    Submitter

    DESCRIPTION

    The department of Computational Biology is seeking a highly motivated Sr. Bioinformatics Research Scientist to serve as the scientific lead for St. Jude Cloud (stjude.cloud), a cloud-based ecosystem for data sharing, cloud-computing and dynamic visualization of the world's largest pediatric cancer genomic data set. The candidate will be a part of an interdisciplinary team consisting of scientists and engineers from St. Jude and our external partners at DNAnexus and Microsoft. Specific responsibilities include providing scientific guidance for the engineering team, organizing pilot studies to evaluate collaborative research initiatives, developing prototypes of workflow and designing new concepts for data visualization, performing curation on data releases, and participating in presentation and training of St. Jude Cloud platform to the biomedical community.

    Candidates with a strong background in bioinformatics, computational biology, and cancer genomics are highly encouraged to apply for this position. Successful candidates shall have well-established track record in cancer genomic research, in-depth experience in data analysis, excellent critical thinking and communication skills, as the St. Jude Cloud project is an institutional strategic initiative and this position will frequently interact with senior scientists from departments across the institution, as well as external partners and collaborators.

    Recognized as a world leader in mapping the genetic landscape of pediatric cancers, the St. Jude department of Computational Biology has developed state-of-art computational infrastructure, well-established pipelines, and deep genomic analysis expertise with a track record of high-impact publications in top-tier biomedical journals such as Nature, NEJM, JAMA, Nature Genetics and Nature Methods. The department provides a highly interactive environment with collaborative opportunities across basic and clinical departments, access to high performance computing clusters, cloud computing environment, innovative visualization tools, highly automated analytical pipelines and mentorship from faculty scientists with deep experience in data analysis, data management and delivery of high-quality results for highly collaborative projects. This position is located in Memphis, TN, and relocation assistance is available.

    REQUIREMENTS

    Minimum Education:
    • Ph.D. in Molecular Biology, Biochemistry, Computer Science, Statistics, Mathematics, Bioinformatics or related field required.
    • Three (3) years of postdoctoral and/or job experience in Computational Biology or Bioinformatics research required with analytical experience in the following areas: sequencing data, microarrays, SNPs, proteomics data or biological pathways
    • Experience with programming languages such as Perl, C, C++, SQL, PHP or Java required.
    • Experience in development of algorithms, statistical methods or scientific software is preferred.

    HOW TO APPLY

    Please visit careers-stjude.icims.com/jobs[...]=-300

    BACKGROUND

    LifeMine Therapeutics, Inc. is the first biotechnology company exploiting the unique ability of fungi to produce powerful drugs optimized through billions of years of evolution and deploying these molecules for the treatment of intractable human diseases via novel biological mechanisms. The company is using a genome mining approach to mount a massive search for novel drugs through the fungal biosphere. With operations in Cambridge and Gloucester, Massachusetts, LifeMine brings a unique approach to its revolutionary scientific and medical mission.

    RESPONSIBILITIES

    We are seeking an exceptionally motivated and talented senior bioinformatics engineer to join our Genomics Discovery team. You will be responsible for developing a large-scale database of genome annotation in AWS, which will include implementing and executing cloud-based bioinformatics pipelines, building and deploying data resources and web interfaces to enable colleagues to access and visualize genomic data, and managing the lifecycle of the data. These efforts will enable LifeMine's proprietary fungal genomic drug discovery platform. To succeed, you will need intellectual curiosity, a focus on data-driven solutions, and a collaborative work ethic.
    • Implement and maintain databases for storing and manipulating high volumes of genomic data
    • Create and manage cloud computing based bioinformatics workflows
    • Develop and deploy web interfaces for genomic data interpretation and visualization
    • Create data-lifecycle and versioning best practice procedures for genomic and related data
    • Follow and champion software development best practices

    REQUIREMENTS

    • Master's in Computer Science, Bioinformatics, Computational Biology or a related field with 3+ years of experience in the bioinformatics or genomics space or Ph.D. with 1-2 years of relevant experience
    • Proficiency in at least one major scripting language (Python, R, or similar)
    • Proficiency in relational database development (Postgres, MySQL, or similar)
    • Web development experience in HTML/CSS/jQuery
    • Experience with cloud computing (AWS or GCP) and dev-ops (Github, Docker, etc.)
    • Data visualization and analysis experience
    • Familiarity with publicly available genomics resources
    • Experience with assembly and annotation of non-model genomes is a plus
    • Experience with webApollo, JBrowse and Geneious and parsing common genomics file formats like Genbank, GFF3, would also be a strong positive
    • Ability to work effectively in a multidisciplinary team and communicate results clearly to peers and leadership
    • A sense of adventure and excitement to be part of the development of a new drug discovery paradigm

    TERMS

    Full time, permanent role

    LOCALE

    30 Acorn Park Dr, Cambridge, MA

    COMPENSATION

    Commensurate with experience; competitive with biotech market data

    HOW TO APPLY

    Please visit grnh.se/c616eb6b2us

    POLICY

    LifeMine is an Equal Opportunity Employer and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

    We kindly request no solicitations by agencies or firms regarding this role.

    DESCRIPTION

    The Division of Biostatistics and Epidemiology in the Department of Molecular and Translational Medicine of the Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, seeks highly qualified applicants for the following full-time tenure-track faculty position:

    Assistant Professor or higher: This position requires a Ph.D. in Biostatistics, Statistical Genetics, Genetic Epidemiology, or a related field. A minimum of 4 years post-doctoral or equivalent experience in one of the areas of Biostatistics, Statistical Genetics, Genetic Epidemiology, or a related field as well as a strong record of peer- reviewed publications, and experience with scientific collaborations are required. The preferred candidate will have a demonstrated track record of methodological/analytical research, focused on the development of analysis of omics data, big data, and/or population genetics in the biomedical sciences. Additional preferred qualifications include: teaching experience in basic and advanced bioinformatics, statistical genetics, and/or biostatistics; strong interest and aptitude in working with biomedical investigators in fundamental, translational, population health, and clinical research projects; and experience in common statistical/bioinformatics software such SAS, STATA, R, Python, and Perl. A minimum of six-year experience as an assistant professor is preferred for the rank of associate professor, and a minimum of 10-years combined experience as an assistant and associate professor is preferred for the rank of professor. Emerging or established regional or national reputation is expected for the rank of associate professor or higher. The major essential functions of the position are to conduct high-quality independent methodological/analytical research in bioinformatics/biostatistics/data science/statistical genetics and teach graduate level courses in bioinformatics/biostatistics/data science. The successful candidate will collaborate with faculty investigators in their research design and analysis; mentor graduate students and medical students; and train and supervise statistical programmers in providing bio-statistical, epidemiology, and bioinformatics support services to investigators.

    LOCALE

    The city of El Paso is nestled between the beautiful Franklin Mountains and the Rio Grande River and has over 300 days of sunshine a year. It is ranked as one of the safest cities in America with a population of more than 600,000. El Paso also is one of the most affordable cities in Texas, and has been voted as one of the best cities in the United States in which to raise a family.

    HOW TO APPLY

    Interested candidates should apply online at careers.texastech.edu, and reference requisition number 22513BR. For further information, potential applicants may inquire confidentially to Alok Dwivedi, Ph.D., Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, at alok.dwivedi[at]ttuhsc.edu or 915-215-4177.

    DEADLINE

    Position will remain open until filled. Application review will begin immediately.

    POLICY

    As an EEO/AA employer, the Texas Tech University System and its components will not discriminate in our employment practices based on an applicant's race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or status as a protected veteran.
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