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    BACKGROUND

    Marshfield Clinic Research Institute (MCRI) is the largest private medical research institute in Wisconsin. MCRI is the research division of Marshfield Clinic, an integrated multispecialty health care system with over 700 physicians and 50+ regional centers. MCRI consists of research centers in clinical research, agricultural health and safety, epidemiology, human genetics, biomedical informatics and integrated laboratory services. It also provides a range of support services for physician and scientist investigators, including biostatistics, protocol and grant preparation, research publication and core laboratory support.

    RESPONSIBILITIES

    The Informatics Scientist – Tenure Track position will conduct high quality, independent, and original research. This individual will publish research results in leading peer-reviewed journals/books, and compete successfully for extramural funding. The Informatics Scientist - Tenure Track collaborates and consults with other Marshfield Clinic Research Institute (MCRI) scientists and Marshfield clinician investigators. This individual will contribute expertise in the design, conduct, analysis of a wide range of research aimed at precision medicine and participate in Center, MCRI and national scientific duties, such as committee membership, presentations at professional conferences, and peer review of research proposals and publications. The Informatics Scientist – Tenure Track will help to maintain an effective work environment within the Center and MCRI and promote positive relationships with the communities and patients served by Marshfield Clinic Health System (MCHS). While research activities will be determined by the individual's interest, research in the following areas are most likely to reinforce MCRI's mission to enrich lives through discovery, translation and application of scientific knowledge that improves human health and well-being: translational biomedical informatics and the design of novel information systems; data science or predictive machine learning; decision support; natural language processing; or bioinformatics. This position may at the rank of Associate Research Scientist, but it may be revised to Research Scientist or Senior Research Scientist based on the applicant's qualifications and record of accomplishments.

    Marshfield Clinic Health System is committed to enriching the lives of others through accessible, affordable compassionate healthcare. Successful applicants will listen, serve and put the needs of patients and customers first.

    REQUIREMENTS

    • PhD in Medical Informatics, Computer Science, Data Science, Biomedical informatics, Computational Biology, Computer vision or a related field
    • The level of position will be based on years of experience and accomplishments in a bioinformatics, data science, computational biology or computer vision or computational health related field
    • Successful record of securing external funding preferred

    PREFERENCES

    NA

    TERMS

    Full-time, permanent

    LOCALE

    Marshfield Clinic Health System
    1000 N. Oak Ave., Marshfield, WI 54449

    COMPENSATION

    To be determined

    Working at Marshfield Clinic Health System, you will also enjoy the following benefits:
    • Low cost of living within clean, safe environments
    • Stable communities and short commutes
    • Outstanding schools and affordable housing
    • Plenty of recreational activities for all four seasons
    • Comprehensive benefits package
    • Employer funded retirement
    • Generous paid time off

    HOW TO APPLY

    You may apply directly through: marshfieldcliniccss.igreentree.com/CSS_[...]82882

    Or through our career center at: www.marshfieldclinic.org/careers

    Reference job# MC182882

    For more information on the Marshfield Clinic Research Institute, visit: marshfieldresearch.org

    For more information on the 2017 Year in Review, visit: marshfieldresearch.org/mcri-year-review

    Inquiries can be directed to Angela Koehler, Human Resources at koehler.angela[at]marshfieldclinic.org

    DEADLINE

    NA

    POLICY

    Marshfield Clinic Health System is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

    DESCRIPTION

    A full PDF version of this job posting is available from the following URL: www.medical-epigenomics.org/file[...]t.pdf

    We are recruiting an ambitious postdoc who wants to develop and apply cutting-edge technology for biomedical research and for advancing diagnostics/therapy in cancer and other diseases. Key areas of interest include cell-based therapy (CAR T and beyond), sequencing technology, CRISPR editing/screening, advanced microscopy, targeted drug delivery, advanced antibody/aptamer therapeutics, systems immunology, and synthetic biology.

    Our group at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna combines wet-lab biology (epigenomics, single-cell sequencing, drugs & CRISPR screening, imaging, etc.) with bioinformatics and artificial intelligence. We work closely with physicians at the Medical University of Vienna to advance precision medicine.

    The Project:
    These are exciting times for technology-driven research in biomedicine, with many opportunities for breakthrough technologies. We are broadly interested in technology development that combine e.g., wet-lab and computational methods, sequencing and imaging, diagnostics and devices, small molecules and biologicals, synthetic biology and cell-based therapies. If you have a project in mind, we would be happy to discuss. If not, here are a few potential directions: (i) CRISPR single-cell sequencing: Building upon our CROP-seq technology (Datlinger et al. 2017 Nature Methods), we develop assays for massive-scale functional biology. (ii) Synthetic cancer biology: We use (epi-)genome editing to build artificial cancer cells and engineer killer cells that specifically destroy dangerous cells. (iii) Droplet devices: We are interested in scalable microfluidics that combine drugs, imaging, and sequencing; (iv) Targeted delivery: We explore new ways to deliver CRISPR in vivo to the right cells.

    The Candidate:
    We are looking for candidates who want to pursue groundbreaking research and advance their scientific career. A typical background could be in molecular biology, biomedical research, bioengineering, or related areas (cell-based therapies, functional genomics, etc.). A keen interest in interdisciplinary collaboration is a plus. We are fully equipped and experienced with wet-lab and computational work, allowing candidates to get the best of both worlds and establish a unique skill set that will allow them to combine both wet-lab and bioinformatics in their future lab.

    The Lab (epigenomics.cemm.oeaw.ac.at):
    The Medical Epigenomics Lab at CeMM pursues an interdisciplinary and highly collaborative research program aimed at understanding the cancer epigenome and establishing its utility for precision medicine. The lab is internationally well-connected and active in several fields:
    • Epigenomics. Many diseases show widespread deregulation of epigenetic cell states. As members of the Human Cell Atlas and the International Human Epigenome Consortium, we use epigenome sequencing to dissect the epigenetic basis of cancer and immunity.
    • Technology. Groundbreaking biomedical research is often driven by new technologies. Our lab is therefore heavily invested into technology development, including single-cell sequencing, CRISPR screens, and epigenome editing.
    • Bioinformatics. New algorithms and advanced computational methods allow us to infer epigenetic cell states from large datasets, in order to reconstruct the epigenetic landscape of cellular differentiation and complex diseases.
    • Diagnostics. New technologies (genome sequencing, mobile devices, etc.) provide important information for personalized medicine. We develop and validate assays and algorithms for translating the value of digital medicine into routine clinical practice.
    The Principal Investigator (scholar.google.com/cita[...]AAAAJ):
    Christoph Bock is a principal investigator at CeMM. His research focuses on epigenetics, bioinformatics, and high-throughput technology (single-cell sequencing, CRISPR) in the context of personalized medicine. He is also a guest professor at the Medical University of Vienna, scientific coordinator of the Biomedical Sequencing Facility at CeMM, and adjunct group leader for bioinformatics at the Max Planck Institute for Informatics. He has been a principal investigator of the BLUEPRINT project (in the International Human Epigenome Consortium), and he co-founded Genom Austria, a citizen science project that is the Austrian partner in the International Network of Personal Genome Projects. He is a member of the Young Academy of the Austrian Academy of Sciences (since 2017) and recipient of several major research awards, including the Max Planck Society's Otto Hahn Medal (2009), a New Frontier Group grant by the Austrian Academy of Sciences (2015-2020), an ERC Starting Grant (2016-2021), and the Overton Prize of the International Society of Computational Biology (2017).

    The Institute (www.cemm.at):
    CeMM is an international research institute of the Austrian Academy of Sciences and a founding member of EU-LIFE. It has an outstanding track record of top-notch science (last few years: >10 papers in Nature/Cell/Science/NEJM, >25 papers in Nature/Cell sister journals) and medical translation. With just over a hundred researchers, CeMM provides a truly collaborative and personal environment, while maintaining critical mass and all relevant technologies. Research at CeMM focuses on cancer, inflammation, and immune disorders. CeMM is located at the center of one of the largest medical campuses in Europe, within walking distance of Vienna's historical city center. A study by "The Scientist" placed CeMM among the top-5 best places to work in academia world-wide (the-scientist.com/2012[...]-2012). Vienna is frequently ranked the world's best city to live. It is a United Nations city with a large English-speaking community. The official language at CeMM is English, and more than 40 different nationalities are represented at the institute. CeMM promotes equal opportunity and harbors a mix of different talents, backgrounds, competences, and interests. Postdocs at CeMM are paid according to the Austrian Science Fund's salary scheme, which amounts to an annual gross salary slightly above EUR 50,000.

    HOW TO APPLY

    Please apply online (cemm.jobbase.io/job/o3e97zc9) with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis. Any application received by 21 January 2019 will be considered. Start dates are flexible.

    BACKGROUND

    The position will be available in the Boehm department at the Max Planck Institute of Immunobiology and Epigenetics in Freiburg, Germany (www.ie-freiburg.mpg.de/boehm). The Boehm group addresses a number of cutting-edge research questions related to the development and evolution of the vertebrate immune system (for recent review see, Annu Rev Immunol 36, 19,2018; Annu Rev Anim Biosci 2, 259,2014; Nat Rev Immunol 13, 831,2013). To support these studies, we seek an experienced bioinformatician with a strong background in data analysis, statistics and, ideally, prior exposure to immunogenetics studies.

    RESPONSIBILITIES

    Your opportunities:
    As an embedded bioinformatician, you will have the opportunity to contribute directly to multiple research projects, from experimental design to data analysis and interpretation, interacting with a strong, interdisciplinary bioinformatics and deep sequencing team that provides access to a large Sequencing Facility (HiSeq3000, HiSeq2500, NextSeq500), as well as a high-performance Data Center with Petabyte-scale storage solutions.

    Your tasks:
    Responsibilities include design of sequencing experiments, processing and quality control of NGS datasets of whole genome and amplicon bisulfite sequencing with discovery of differentially methylated regions, WGS and variant calling, RNAseq, scRNAseq, analysis of differential gene expression and gene module calling, analyses of sequence homologies and conservation, TCR clonotyping, reference assembly and annotation in non-model organisms, and development and implementation of custom analyses in collaboration with wetlab scientists.

    REQUIREMENTS

    Your qualifications:
    We are looking for a dedicated and motivated team player with strong communication skills and good command of the English language, who has a MSc or PhD degree in bioinformatics or biology with a clear computational component. The successful applicant will have a proven record in the analysis of genome-wide datasets and computational skills (Python, R) in a Linux environment.

    TERMS

    This position is open immediately and initially funded for two years.

    LOCALE & COMPENSATION

    We offer:
    Based within a region that connects Germany, France and Switzerland, our institute hosts a vibrant community of international researchers, state-of-the-art facilities, and modern office spaces. A childcare facility is directly attached to the institute. At the heart of the Black Forest, Freiburg offers a family-friendly atmosphere and excellent recreational possibilities for cultural and outdoor activities. Salaries will be based on previous experience according to the German pay scale for civil service (TVöD) including health insurance and other social benefits.

    HOW TO APPLY

    Have we sparked your interest? Please submit your complete application, including a 1 page motivation summary, CV and contact details of referees via our online application portal at www.ie-freiburg.mpg.de.

    For informal inquiries please contact: boehm[at]ie-freiburg.mpg.de

    Submitter

    BACKGROUND

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success as they move beyond the 100,000 Genomes Project. Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the 'go to' destination for international genomic research and investment.

    Genomics England applies state of the art approaches to whole genome sequences for processing, analysis, quality assurance and annotation. This includes integrating phenotypic and other clinical data with whole genome sequencing to create a world-leading, high fidelity data repository for NHS England and third party users.

    Genomics England has delivered automated variant classification for the Rare Disease and Cancer Programmes of the 100,000 Genomes Project and will now apply its expertise to supporting NHS England's Genomic Medicine Service.

    The Bioinformatics team develops and applies state of the art approaches to whole genome sequences (WGS) in the areas of:
    • Analysis of WGS in cancer and rare diseases 

    • Automated high throughput processing and variant classification
    • Quality assurance and sample provenance monitoring
    This analyst role is part of a highly motivated Bioinformatics team, working as part of a small team responsible for rare disease analysis and study of non-tumour genomes.

    RESPONSIBILITIES

    Key Accountabilities:
    • Benchmarking tools for quality control, processing and analysis of whole genome sequence data, e.g, alignment, variant callers for variants of different size ranges
    • Performing custom analysis for a range of projects
    • Developing and prototyping new features for genome analysis in collaboration with internal and potentially external stakeholders
    • Collaborating with software developers responsible for converting prototypes to production pipelines
    • Establishing general bioinformatics resources for day-to-day use by colleagues

    REQUIREMENTS

    Skills Required:
    • MSc or PhD (or equivalent experience) in Bioinformatics or relevant subject or equivalent work experience
    • Expertise in one or more areas of human DNA analysis, such as rare disease genomics, family based analysis, genetic association testing, common disease genomics / risk score prediction, structural variation, pharmacogenomics, typing of complex genomic regions such as HLA/KIR
    • Relevant professional experience, e.g. postdoctoral
    • Substantial hands-on experience analysing exome or whole genome sequencing data
    • Familiar with Unix and use of high performance computing clusters
    • Proficient in using R and/or Python to manipulate, visualise and analyse data and achieve tasks programmatically
    • Familiar with software version control
    • A demonstrable ability to balance competing demands and deliver to deadlines
    • Ability to communicate effectively within a multidisciplinary team
    • Flexible and co-operative approach to colleagues
    • Ability to work well both independently and as part of a team
    • Practical knowledge of statistics and/or machine learning
    • Strong programming skills

    COMPENSATION

    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.

    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: Senior, Rare, Disease, Analyst, WGS, WES, DNA, HPC, Python, Version, Control, Genomics, Bioinformatics, Pipelines, Statistics, Testing, Writing, Variants, NGS, London, Fixed-Term.

    BACKGROUND

    The Segrè lab in the Department of Ophthalmology and Ocular Genomic Institute at Massachusetts Eye and Ear Infirmary (MEEI), a teaching hospital of Harvard Medical School, develops new computational and statistical methods that integrate large-scale human genetic association and sequencing studies with functional genomics and pathway data, to identify new causal genes and regulatory mechanisms that lead to common eye diseases, such as age-related macular degeneration, glaucoma and diabetic retinopathy, paving the way for new therapies.

    We are seeking a highly motivated and talented Computational Biologist or Bioinformaticist with formal training in statistics, mathematics, computer science, bioinformatics, or a related quantitative field, that is interested in statistical and computational analyses of large-scale genetics and -omics data to study the genetic and biological causes of common eye diseases. To learn more about the lab please visit: segrelab.meei.harvard.edu.

    RESPONSIBILITIES

    The successful candidate will work on independent and collaborative projects, that will entail developing new computational and statistical methods, as well as applying existing tools to genetics and functional genomics data from relevant tissues or cell types. Possible directions include statistical analysis of large-scale genetic association studies across multiple complex traits and diseases to identify new drug repurposing opportunities for common eye diseases and predict adverse drug effects; integrative analysis of genome-wide association studies (GWAS) with expression quantitative trait loci (eQTLs), splicing QTLs, and epigenomic data from retina and other eye tissues, or rare variant analysis of noncoding regulatory regions in eye disease cohorts, to identify genetic risk factors and causal genes and pathways for complex eye diseases. The candidate will critically review and communicate results to our group and collaborators, and will publish ones work in peer-reviewed journals. There will also be opportunities to follow-up hypotheses in relevant biological systems, and to present ones work at local, national or international meetings. The lab interacts with other computational biologists and computer scientists in the Bioinformatics Center of the Ocular Genomics Institute at Massachusetts Eye and Ear (MEE), and will be part of a larger multidisciplinary research environment of human geneticists, clinical scientists, and experimental and computational biologists at MEE and the Broad Institute of Harvard and MIT.

    REQUIREMENTS

    The position requires a B.Sc. in computer science, (bio)statistics, bioinformatics, mathematics, or a related quantitative discipline, and a Ph.D. in computational biology, statistical genetics or a related fields. A strong background in statistics or mathematics is preferred. The ideal candidate should have excellent programming skills and in-depth experience with multiple programming languages (e.g. Python, R and/or Matlab, and C++ and/or Java) and with Unix/Linux, and have demonstrated rigorous work. Experience with large-scale data analysis, algorithm development and statistics required; Research experience DNA sequencing, RNA sequencing, epigenetic, and/or GWAS data preferred. The candidate should have strong personal skills and excellent verbal and written communication and organizational skills. The applicant should be highly motivated to work in a fast-paced and rapidly evolving field and collaborative environment, and be passionate about using genomics to advance the understanding and treatment of eye diseases.

    LOCALE

    Ocular Genomics Institute, Massachusetts Eye and Ear, Boston, MA / Harvard Medical School / Broad Institute of Harvard and MIT

    COMPENSATION

    A competitive salary will be provided commensurate with experience, along with health and other benefits.

    HOW TO APPLY

    Interested applicants should send their CV, a cover letter describing previous research experience and future research interests, and contact information for 3 references, to Dr. Ayellet Segrè: ayellet_segre[at]meei.harvard.edu.

    DEADLINE

    Applications will be reviewed until position is filled.

    DESCRIPTION

    The Department of Computer Science at Saint Louis University, a Catholic, Jesuit institution dedicated to student learning, research, health care, and service, is seeking candidates for a tenured or tenure-track faculty position, to begin in August 2019. We are interested in candidates with a demonstrated record of addressing biological problems and omics data sets with computational approaches. Rank will be commensurate with qualifications and experience; outstanding candidates at all levels are encouraged to apply.

    Candidates must hold a Ph.D. in Computer Science, Bioinformatics, or a closely related field and demonstrate strong potential for both research and teaching. A secondary appointment in one of the Departments of Biology, Chemistry, Mathematics/Statistics or the School of Medicine will be considered for a candidate with appropriate qualifications. This position will support undergraduate and graduate programs in Computer Science, and an interdisciplinary Master's program in Bioinformatics and Computational Biology. Duties include conducting an ongoing research program with national prominence, teaching of both undergraduate and graduate courses, and the mentorship of undergraduate and graduate students.

    HOW TO APPLY

    All applications must be made online at jobs.slu.edu and include a cover letter, CV, statement of research interests, statement of teaching interests and experiences, and contact information for three or more potential references. Review of applications will begin on January 7, 2019 and continue until the position is filled.

    Additional information about the position and the department can be found at cs.slu.edu/hiring.

    POLICY

    Saint Louis University is an Affirmative Action/Equal Opportunity Employer (AA/EOE) and encourages nominations of and applications from women and minorities.
    Opportunity: Clinical Bioinformatician @ Genomics England -- London, UK
    Submitted by Eugene Mc Daid; posted on Wednesday, December 05, 2018

    Submitter

    Paramount are working in partnership with Genomics England to expand their team in order to deliver success with the 100,000 Genomes Project. This is a challenging and fast moving project with the aim to carry out whole genome sequencing on 100,000 participants.

    Genomics England applies state of the art approaches to whole genome sequences for processing, analysis, quality assurance and annotation. This includes integrating phenotypic and other clinical data with whole genome sequencing to create a world-leading, high fidelity data repository for the NHS and third party users.

    The Bioinformatics team develops and applies state of the art approaches to 100,000 whole genome sequences (WGS) in the areas of:
    • Analysis of WGS in cancer and rare diseases 

    • Sequence alignment and variant calling of up to 100 genomes per day 

    • Quality assurance and sample provenance monitoring
    This role contributes to the Genomic Interpretation Group's review and reporting of findings back to the NHS.

    RESPONSIBILITIES

    Key Accountabilities:
    • Contribute to our in-house pipeline to analyse WGS data of patients and aid in the interpretation of findings using clinical bioinformatics capabilities.
    • Perform quality assurance of the analysis and interpretation made by third parties and by our in-house pipeline for both Rare Disease and Cancer.
    • Review variant calls in a timely manner that can be used to inform clinical decisions and for research purposes within the NHS GMCs and academic communities.
    • Perform user acceptance testing of third party decision support tools for interpretation.
    • Handling, troubleshooting and prioritising GMC issues from interpretation/system.
    • Support with writing SOPs and documentation about the system.

    REQUIREMENTS

    Skills Required:
    • Degree level qualification, or equivalent, in a medical science or relevant discipline
    • Demonstrated commitment to quality
    • Demonstrate understanding of quality management systems and implementing process improvements and supporting staff with process development and documentation.
    • Familiarity with clinical research and the NHS
    • Experience of writing and following Standard Operating Procedures
    • Proven scripting skills (e.g. in one or more of Python, Bash, R, SQL) (essential)
    • Proven knowledge/understanding in genetics/genomics and variant calling (essential)
    • Knowledge of bioinformatics best practice guidelines (e.g. ACGS)
    • Experience of delivering training to a varied audience (desirable)
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands
    • Ability to communicate effectively within a multidisciplinary team and external stakeholders
    • Flexible and co-operative approach to colleagues

    COMPENSATION

    There are some great benefits on offer with this opportunity including a competitive salary, pension, generous holidays and more.

    ABOUT US

    Genomics England works at the cutting edge of science, technology and healthcare. Our mission is to deliver the ground-breaking 100,000 Genomes Project – the biggest national genome sequencing project of its kind anywhere in the world. As it moves beyond the 100,000 Genomes Project, Genomics England will work with NHSE to launch the world's first Genomic Medicine Service within a national healthcare system. In partnership with government, the NHS, academia, industry and the public, Genomics England aims to realise the potential of genomic medicine: to embed state-of-the-art care in the NHS; bring health benefits to UK citizens; and consolidate the UK's position as the 'go to' destination for international genomic research and investment.

    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: Clinical, Bioinformatician, Genomics, Bioinformatics, WGS, Pipelines, Patient, Data, SOP, Python, SQL, Bash, NHS, Variant, Calling, London
    Opportunity: Full Stack Developer @ BCforward -- San Diego, CA (US)
    Submitted by Jason Kegerreis; posted on Friday, November 30, 2018

    SUMMARY

    BCforward is actively seeking a highly motivated Full Stack Developer for a bio-pharmaceutical company in San Diego, CA!

    Client: Eli Lilly
    Location: San Diego, CA
    Pay: Hourly on W2
    Type: Contract with likely extension or conversion to permanent placement

    RESPONSIBILITIES

    The candidate will be responsible for gathering and prioritizing requirements from highly intelligent scientists. In addition the developer will need to differentiate requirements as critical and option "nice to haves". Must have excellent analysis skills the and ability to understand system inter dependencies to ensure minimal impacts when implementing system changes.

    REQUIREMENTS

    Required Skills:
    • Good communication skills and desire to learn – learning agility
    • Strong problem solving abilities
    • Python
    • Javascript, CSS, HTML
    • Databases (relational db minimally, with knowledge of relational schemas and normalization)
    • SQL
    Minimum Skills to start immediately contributing:
    • Django or Flask
    • Gunicorn and NGINX
    • Testing in Python
    • RESTful services
    • Git and GitHub

    PREFERENCES

    Preferred Experience/Knowledge in the following to be highly effective:
    • Django-rest-framework
    • Docker
    • AWS
    • Jenkins and CI/CD
    • Pandas, numpy, scipy, etc.
    • Biology
    • Bioinformatics
    • Python packaging
    • React + Redux
    Would be nice additions to the skills above to help build other parts of Biologica:
    • Airflow
    • React
    • Machine Learning
    • OLAP (Redshift, Netezza)
    • Hadoop, Spark
    Additional Skills/Preferences:
    • Lab automation experience a plus
    • LIMS experience
    • Oracle PL/SQL, Oracle triggers
    • Ability to listen and gather requirements from scientists
    • Ability to communicate ideas clearly
    • Creative, detail-oriented and organized

    ABOUT US

    BCforward began as an IT business solutions and staffing firm. Founded in 1998, BCforward has grown with our customers' needs into a full service personnel solutions organization. Headquartered in Indianapolis, Indiana, BCforward also operates numerous delivery centers across North America and India. We are currently the largest consulting firm and largest MBE certified firm in Indiana. Our uninterrupted growth has allowed BCforward to deliver uniquely configured IT staffing and project solutions for over years of catering to our customers' specific needs. BCforward currently maintains a team of over 5000 global resources. With our additional brand, Stafforward, together we have the capabilities to deliver services for a variety of industries in both public and private sectors which allows us to address your most challenging needs.

    www.BCforward.com
    www.facebook.com/bcforward

    HOW TO APPLY

    Interested parties can apply by emailing geetha.babu[at]bcforward.com.

    POLICY

    This posting is not an offer of employment. All applicants must be authorized to work in the United States and willing cooperate with a background check and drug screen, to the extent permitted by federal and local laws up to, and including, both criminal and financial reviews. The submission of intentionally false or fraudulent information in response to this job posting shall render the applicant ineligible for the position. BCforward is an equal opportunity employer. Any subsequent offer of employment shall be considered employment at will regardless of the anticipated assignment duration.

    DESCRIPTION

    Marshfield Clinic Research Institute (MCRI) is the largest private medical research institute in Wisconsin. MCRI is the research division of Marshfield Clinic, an integrated multispecialty health care system with over 700 physicians and 50+ regional centers. MCRI consists of research centers in clinical research, agricultural health and safety, epidemiology, human genetics, biomedical informatics and integrated laboratory services. It also provides a range of support services for physician and scientist investigators, including biostatistics, protocol and grant preparation, research publication and core laboratory support.

    The Director-Center for Precision Medicine Research (CPMR), a research center at the Marshfield Clinic Research Institute (MCRI), will provide policy direction, operational guidance and scientific leadership for the Marshfield Clinic Health System's (MCHS) Precision Medicine Research program. The Director-CPMR will make scientific and leadership contribution to the mission of MCRI. This individual serves as the lead spokesperson for precision medicine research efforts, mentors researchers and oversees the productivity and professional development of scientists and senior staff within CPMR. This tenured PhD scientist or scientist-clinician will have a strong and consistent record of scientific discovery and scholarly activities in area of precision medicine, including human genetics, predictive modeling, artificial intelligence, biomedical informatics and or bioinformatics. This individual will work collaboratively with various leaders throughout the MCRI and MCHS to develop and implement complementary strategic plans in the research institute in support of the overall health system.

    Marshfield Clinic Health System is committed to enriching the lives of others through accessible, affordable compassionate healthcare. Successful applicants will listen, serve and put the needs of patients and customers first.

    REQUIREMENTS

    • A Doctoral degree (PhD, MD, DO, etc.) with training in precision medicine, human genetics, predictive modeling, artificial intelligence, biomedical informatics, bioinformatics, or related field
    • An exemplary record of scientific accomplishments in discovery, extramural grants and publications in respected peer-reviewed journals. Proven ability to lead and mentor scientists and clinician-investigators. At least four of years of research leadership and four years as independent funded researcher; six years in both preferred

    LOCALE

    Marshfield Clinic Health System
    1000 N. Oak Ave., Marshfield, WI 54449

    COMPENSATION

    Working at Marshfield Clinic Health System, you will also enjoy the following benefits:
    • Low cost of living within clean, safe environments
    • Stable communities and short commutes
    • Outstanding schools and affordable housing
    • Plenty of recreational activities for all four seasons
    • Comprehensive benefits package
    • Employer funded retirement
    • Generous paid time off

    HOW TO APPLY

    You may apply directly through: marshfieldcliniccss.igreentree.com/CSS_[...]82618

    Or through our career center at: www.marshfieldclinic.org/careers

    Reference job# MC182618

    For more information on the Marshfield Clinic Research Institute, visit: marshfieldresearch.org

    For more information on the 2017 Year in Review, visit: marshfieldresearch.org/mcri-year-review

    Inquiries can be directed to Angela Koehler, Human Resources at koehler.angela[at]marshfieldclinic.org

    POLICY

    Marshfield Clinic Health System is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

    Submitter

    BACKGROUND

    One of the world's leading pharmaceutical companies is now seeking an exceptionally talented Data Scientist to join their Discovery Sciences team at a strategic Director level. This coveted position will be responsible for devising machine learning-based departmental strategy to drive target discovery and support drug development across core therapeutic fields.

    RESPONSIBILITIES

    Main responsibilities of the Director of Data Science will be:
    • You will lead the machine learning discipline, develop and implement machine learning strategies for target identification
    • Work collaboratively with internal drug discovery projects, therapeutic divisions and platform teams, using expertise in machine learning and statistical modelling to address key biological questions and deliver solutions
    • Establish and nurture academic collaborations to drive AI/machine learning based genomic research

    REQUIREMENTS

    • An excellent academic background, with a PhD in Mathematics, Quantitative Biology, Statistics, Computer Science or a related discipline
    • Experience managing a multi-disciplinary team of statisticians, data scientists, bioinformaticians etc.
    • Experience working with genomic data (NGS, WGS, WES) and image data is ideal
    • Experience applying machine learning to target discovery sciences/pre-clinical
    • Expertise in one or several of the core machine learning areas, eg. Artificial Neural Networks, Supervised/Unsupervised learning methods, Support Vector Machines, Bayesian approaches, Gaussian processes, Markov Models, Decision Theory etc.
    • Strong technical ability, excellent programming skills with expert use of Python sand R, as well as relevant frameworks such as scikit-learn & Tensorflow
    • Good understanding of molecular biology, cell biology and genomics

    HOW TO APPLY

    This is a truly exciting opportunity to work on cutting edge science, and use your skills to transform millions of lives by supporting the development of new pharmaceuticals. For more information about this opportunity, email your CV to Emilie Francis at efrancis[at]pararecruit.com. For an informal chat to discuss the position, call Emilie on 0121 616 3477.

    Key words: Data Science, Quantitive biology, machine learning, Bioinformatics, Drug Discovery, Target Identification, Discovery sciences, Pre-clinical, Artificial intelligence, Pharmaceutical, Pharma, Genomics, Statistics

    Submitter

    BACKGROUND

    Paramount are working closely with an award-winning Biotech based in the heart of Cambridge who are on the lookout for curious, innovative, talented and ambitious Natural Language Processing Engineers to join their thriving AI department.

    Developing cutting edge deep learning approaches to NLP and Knowledge Graph, this progressive start-up is committed to identifying new therapeutics for the millions of children that are suffering with rare diseases, for whom there are currently extremely limited treatment options available.

    RESPONSIBILITIES

    As an NLP Engineer, your responsibilities include:
    • Building and refining machine learning infrastructure
    • Automatically extracting significant biological facts from vast quantities of medical and clinical trial literature
    • Organising information gleaned into the company's Knowledge Graph

    REQUIREMENTS

    The ideal candidate will have:
    • A Msc or PhD in Machine Learning, Data Science, Text Semantics, NLP or a related discipline
    • 3 years+ industry/academic experience in Natural Language Processing, Text Analytics, Artificial Intelligence or Machine learning
    • Experience of Knowledge Graphs
    • Strong software development experience, preferably with Python

    COMPENSATION

    This is vital role that will contribute to critical scientific research that could the vastly improve the quality of life for millions of people. This role has the chance to interact personally with the patient groups who will be directly benefiting from this cutting edge technology, making this opportunity hugely rewarding for those who are passionate about the work. On offer is a competitive salary, flexible working, fantastic location and a wonderfully talented team of people.

    HOW TO APPLY

    To apply, send your CV to efrancis[at]pararecruit.com, or for more information, call Emilie on 0121 616 3477.

    Key words: Natural Language Processing, NLP, AI, Machine Learning, Software Engineering, Rare diseases, Biotech, Cambridge

    Submitter

    BACKGROUND

    Exciting opportunity for a Computational Biologist to join a cutting edge drug discovery organisation based in Oxford. Becoming part of the informatics team, you will contribute to the development of their discovery platform.

    The role involves developing and implementing data analysis processes to support all aspects of drug discovery. This will include the analysis and interpretation of biological data, integration of multi-omic data to drive new discovery projects, and the development of novel algorithms to extend the capabilities of their discovery platform.

    REQUIREMENTS

    Ideally you will:
    • Have a PhD in a numerate discipline such as computational biology, data science, statistics or physics
    • Commercial experience in the implementation of computational approaches to real world problems
    • Be comfortable applying machine learning techniques and linear models to large scale data sets to complete statistical analysis
    • A strong technical background is also required with knowledge of the modern data science languages such as Python and R
    • Experience analysing and integrating biological data sets, particularly gene expression or proteomic

    HOW TO APPLY

    This is a fantastic chance to join an established company who have a do what is necessary culture. You will have the opportunity to be involved in different aspects of the business and help shape the culture. There is a highly competitive package on offer including generous salary, pension, and also a creative and fun work environment.

    For further details on the role and company or for a confidential discussion please contact Emilie on 0121 616 3477 or email efrancis[at]pararecruit.com.

    Submitter

    BACKGROUND

    One of the world's most prestigious pharmaceutical companies is expanding their drug discovery research facility in Oxford and seeking a talented Bioinformatics, Data Scientists, Machine Learning Enthusiasts, Statistical Geneticists and Computational Scientists. This is a hands-on position, where you will be working with large data repositories, using cutting edge data science techniques and Bioinformatics analysis to gain a deeper biological understanding of disease and discover novel targets.

    RESPONSIBILITIES

    • Routinely analysing a wide variety of data-sets, including genomic, transcriptomic, proteomic, stem cell and CRISP-R
    • Using advanced machine learning to discover novel targets, and accelerate the drug discovery process, from early pipeline towards proof of principle in animal models
    • Work collaboratively across all departments

    REQUIREMENTS

    • PhD in Computational Biology, Bioinformatics, Mathematics, Physics, Machine Learning, Statistical Genetics, Systems Biology or a related discipline
    • A minimum of 2 years' Post-doctoral or industry relevant experience
    • A passion for advanced analytics, with a background in one or several of the following: machine learning, deep learning, artificial intelligence, algorithm development
    • Experience of applying AI/Machine learning methods for drug discovery/target identification

    HOW TO APPLY

    This is a fantastic opportunity to work with one of the world's leading pharmaceutical companies, work with cutting edge technologies and help get more efficient treatments to patients faster than ever before. On offer is a competitive benefits package, brilliant location with excellent transport links, academic freedom to publish and stimulating projects. To find out more about the opportunities available, send your CV to Emilie Francis (efrancis[at]pararecruit.com) or give Emilie a call on 0121 616 3477.

    Key words:
    Drug discovery, Systems Biology, Bioinformatics, Data Science, Machine Learning, Algorithm design, Drug targets, Post-Doc, Oxford, Pharmaceuticals, Artificial intelligence, Statistical genetics, Genomics

    Submitter

    BACKGROUND

    A renowned, multi-national Biopharmaceutical company is developing a global discovery sciences unit, focused on applying cutting edge machine learning-based approaches to drug discovery, and is looking for a Team Leader! This exciting opportunity will be responsible for leading a team of four informatics post docs working together to improve biological understanding of target identification.

    RESPONSIBILITIES

    • Managing a team of 4/5 Post-Docs from a variety of disciplines (Imaging, Machine Learning, Biostats)
    • Implementing departmental machine learning based strategy to support drug discovery activities across a range of therapeutic fields
    • Work collaboratively with internal drug discovery projects, therapeutic divisions and platform teams
    • Establish and nurture academic collaborations to drive AI/machine learning based genomic research

    REQUIREMENTS

    • An excellent academic background, with a PhD in Bioinformatics, Statistical Genetics or Data Science and strong publication record
    • Leadership/Supervision experience
    • A strong understanding of machine learning pricipals and how these can be used to advance drug discovery
    • Good understanding of molecular biology, cell biology and genomics

    HOW TO APPLY

    This is a truly exciting opportunity to work on cutting edge science, and use your skills to transform millions of lives by supporting the development of new pharmaceuticals. For more information about this opportunity, email your CV to Emilie Francis at efrancis[at]pararecruit.com. For an informal chat to discuss the position, call Emilie on 0121 616 3477.

    Key words:
    Data Science, Quantitive biology, machine learning, Bioinformatics, Drug Discovery, Target Identification, Discovery sciences, Pre-clinical, Artificial intelligence, Pharmaceutical, Pharma, Genomics, Statistics

    BACKGROUND

    The Plant Computational Genomics lab in the Department of Ecology and Evolutionary Biology at the University of Connecticut seeks motivated PhD students to join the lab in the Summer/Fall 2019. Our research focuses on the computational analysis of genomic and transcriptomic data generated by next-generation sequencing platforms from non-model forest tree species. We implement this through analysis related to gene finding, gene expression, transcriptome assembly, and conserved element identification, through machine learning and computational statistics. We use these methods to address questions related to genome biology and population genomics. In addition, we develop web-based applications that integrate BIG data across domains to facilitate the forest geneticist or ecologist's ability to analyze, share, and visualize their data (treegenesdb.org). Such integration requires the implementation of semantic technologies and ontologies to connect genotype, phenotype, and environmental resources. We collaborate and contribute to the TRIPAL project (tripal.info).

    Research Topics:
    Potential research topics in our group include 1) development of visualization tools and integration of high throughout environmental data to support genome-wide association studies in forest trees; 2) application of genomic and transcriptomic techniques to evaluate the impact of climate change on tree populations; 3) development of software solutions to improve assembly and characterization of non-model plant genomes (and transcriptomes); 4) interrogation of natural genetic variation across populations in large, complex conifer genomes; 5) and your ideas here! Learn more about our active research projects here: compgenomics.lab.uconn.edu/research/.

    REQUIREMENTS

    • Excellent written and oral communication, as well as strong quantitative skills, are required.
    • Backgrounds in genetics/genomics, evolutionary biology, bioinformatics, and computer science are desired.

    LOCALE

    University of Connecticut, Storrs, CT

    The University of Connecticut (UConn) has been one of the nation's leading public institutions since its founding in 1881. Located in Storrs, UConn's main campus is situated in the picturesque rolling forests and fields quintessential of New England, yet is only 30 minutes from Hartford, and has close connections to Providence, Boston and New York. The Department of Ecology and Evolutionary Biology consists of over 30 faculty and 60 graduate students with research spanning nearly all major groups of organisms. The Department maintains close ties with the Departments of Physiology and Neurobiology, Molecular and Cell Biology, Marine Sciences, and Natural Resources Management and Engineering, as well as the Center for Environmental Sciences and Engineering and the Institute for Systems Genomics, which together comprise one of the largest groups of biologists in the Northeast.

    COMPENSATION

    Financial support for Ph.D. students (tuition and living expenses) is available through research assistantships, teaching assistantships, and university fellowships.

    HOW TO APPLY

    Interested candidates should send an email with a research interest statement (1-2 pages), a CV, unofficial undergraduate/graduate transcripts, contact information for three professional references, and GRE scores to Jill Wegrzyn (jill.wegrzyn[at]uconn.edu). Non-native English speakers must submit TOEFL scores. Qualified candidates will be contacted directly for Skype interviews following review.

    For more details on application materials and expectations in the lab, please read the following: compgenomics.lab.uconn.edu/grad[...]ring/

    DEADLINE

    We will begin reviewing applications on December 20th.
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