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    Latest announcements

    BACKGROUND

    Are you a Principal Data Scientist looking to join a start up with aims of improving cancer patient's lives through drug discovery?

    We are a tumour agnostic cancer therapeutics company that has been established, initially as a wholly-owned GRL entity funded through Innovate UK and GRL, to identify and exploit cancer vulnerabilities, delivering better medicines to patients. MOSAIC is in the process of raising the venture funds necessary to take the unique outputs of our existing programmes into drug discovery. We are looking for a Principal Data Scientist to use advanced statistical and artificial intelligence algorithms incorporating large scale clinical, genomic and functional datasets to guide cancer drug discovery.

    Our capabilities are based on a unique twin platform of experimental CRISPR gene-editing in next-generation tumour organoids and advanced machine-learning and statistical algorithms to selectively identify and exploit the vulnerabilities of different types of cancers. We draw upon a breath of public and proprietary curated data, validated computational pipelines, together with our deep knowledge of cancer therapeutics to provide data-driven insights for cancer drug discovery. The team at MOSAIC have pioneered the use of drug and genetic screens in next-generation cancer models for drug discovery, have generated widely used reference datasets and analytical tools, and have extensive experience working with pharmaceutical partners to develop new targets and therapies.

    REQUIREMENTS

    • Experience using statistical and/or artificial intelligence approaches, including but not limited to linear regression models, machine learning (elastic net, lasso, ridge regression) and neural networks
    • Ability to prioritise multiple tasks
    • Advanced knowledge of programming in R, Python or similar
    • Experience in the analysis of large-scale genomic, function genomic or clinical datasets through the use of automated workflows
    • Understanding of current software development methodologies, e.g. Scrum/Agile, CI/CD, Concurrent Version Systems (e.g. Git)
    • Eligibility to work in the UK
    Please download and view the accompanying job specification for a detailed description of the role, responsibilities, and requirements and the candidate guide for more details about our work, environment, and benefits.

    TERMS

    Hours: Full-time
    Contract length: 12 months fixed term

    LOCATION

    Wellcome Genome Campus, Hinxton, UK

    COMPENSATION

    Salary: £45,516 -£54,524
    Benefits: Details of benefits are available on application

    HOW TO APPLY

    This is a unique opportunity to join a multidisciplinary team and contribute to a Cambridge start-up at the cutting-edge of drug discovery.

    Please submit your CV and cover letter addressing the following:
    • Your motivations for applying to this role
    • Your suitability for the role, using the information above and in the job description
    Applications will be reviewed on an ongoing basis and the role may close early if a successful appointment is made.

    Apply now: mosaic-tx.com/join[...]tist/

    DEADLINE

    Closing date: 9 June 2021

    BACKGROUND

    Mosaic Therapeutics (MOSAIC) was founded in 2020 as a wholly-owned subsidiary of Genome Research Limited (GRL) with the aim of applying a decade of ground-breaking work in the Sanger Institute's Translational Cancer Genomics Laboratory to identify selective vulnerabilities in cancer cells that can be exploited therapeutically. MOSAIC's formation was enabled and its activities are being driven by the vision and management of Mathew Garnett and Adrian Ibrahim. MOSAIC also continues to benefit as a result of strong support from GRL, as GRL's most recent start-up company. We are looking for a Senior Data Scientist to provide data science support across a range of drug discovery activities using advanced statistical and artificial intelligence algorithms incorporating large scale patient, genomic and functional datasets to guide drug discovery.

    Our capabilities are based on a unique twin platform of experimental CRISPR gene-editing in next-generation tumour organoids and advanced machine-learning and statistical algorithms to selectively identify and exploit the vulnerabilities of different types of cancers. We draw upon a breath of public and proprietary curated data, validated computational pipelines, together with our deep knowledge of cancer therapeutics to provide data-driven insights for cancer drug discovery. The team at MOSAIC have pioneered the use of drug and genetic screens in next-generation cancer models for drug discovery, have generated widely used reference datasets and analytical tools, and have extensive experience working with pharmaceutical partners to develop new targets and therapies.

    REQUIREMENTS

    • Use a range of computational skills to provide innovative solutions to complex biological problems to gain new insights into multiple aspects of drug discovery. In particular, you should be familiar with using advanced statistical and artificial intelligence algorithms to analyze large biological datasets.
    • You will be expected to work creatively as part of a multi-disciplinary team in a dynamic and rapidly evolving field, delivering high value IT solutions in a timely fashion.
    • Knowledge of in R, Python or similar
    • PHD in in computer science, bioinformatics, data science or related scientific discipline with experience working in academia or industry or equivalent experience
    • Eligibility to work in the UK

    TERMS

    Hours: Full-time
    Contract length: 12 months fixed term

    LOCATION

    Wellcome Genome Campus, Hinxton, UK

    COMPENSATION

    Salary: £37,865-£45,359
    Benefits: Details of benefits are available on application

    HOW TO APPLY

    Please submit your CV and cover letter addressing the following:
    • Your motivations for applying to this role
    • Your suitability for the role, using the information above and in the job description
    • Applications will be reviewed on an ongoing basis and the role may close early if a successful appointment is made.
    Apply now: mosaic-tx.com/join[...]tist/

    DEADLINE

    Closing date: 10 June 2021

    BACKGROUND

    The Bioinformatics Core (BIC) at Memorial Sloan Kettering Cancer Center (MSK) in New York City (Manhattan) facilitates scientific discoveries by supporting basic and clinical research groups. BIC is responsible for building training programs, research project support, web-based tools, and database integration of genomic, pathway and clinical information. More information about the Bioinformatics Core is available at www.mskcc.org/rese[...]atics.

    We are seeking a Bioinformatics Engineer to perform next-generation sequence data processing and analysis in a dynamic and exciting academic environment at the nexus of cancer biology, computer science, statistics and clinical research. Work will be performed in a small group atmosphere with active collaborators and in concert with other Bioinformatics and Software Engineers throughout the institution.

    RESPONSIBILITIES

    You will design, develop, and operate computational pipelines for the analysis of next-generation sequencing data. Work will include both large-scale projects and small custom jobs and span a wide variety of analysis problems.

    You are:
    • Motivated to apply their skills to translational research
    • Someone who enjoys working in a team, but can work independently
    • Self-motivated with a strong desire to learn and solve problems

    REQUIREMENTS

    You have:
    • Master's degree and 5 years of Bioinformatics software development or equivalent experience.
    • Strong computational/programming skills; including thorough experience with the following:
    • UNIX environment
    • Clustered computing: (LSF familiarity strongly desired)
    • Next-generation analysis toolkits (PICARD, GATK, samtools, etc.)
    • Advanced skills in at least 2 programming languages (Python, Perl, Java, C++, R)
    • Familiarity with statistical packages like R, multi-processing/threading methods, and workflow/pipeline tools desirable

    COMPENSATION

    Benefits:
    Competitive compensation packages, Sick Time, Generous Vacation+ 12 holidays to recharge & refuel, Internal Career Mobility & Performance Consulting, Medical, Dental, Vision, FSA & Dependent Care, 403b Retirement Savings Plan Match, Tuition Reimbursement, Parental Leave & Adoption Assistance, Commuter Spending Account, Fitness Discounts & Wellness Program, Resource Networks, Life Insurance & Disability, Remote Flexibility

    HOW TO APPLY

    Our Hiring Process:
    For more details and to apply, please click this link: careers.mskcc.org/jobs[...]core/

    BACKGROUND

    The Department of Biostatistics and Bioinformatics at Moffitt Cancer Center, a National Cancer Institute-designated Comprehensive Cancer Center, is seeking a faculty member in the tenure-earning rank of Assistant/Associate Member with preference for strong expertise in the analysis and methods development related to single-cell sequencing (e.g., scRNA-seq, scATAC-seq). Methodological research in bioinformatics is also expected.

    The Department currently has 19 faculty and approximately 32 staff members engaged in a wide range of statistical and bioinformatics research and collaborations on clinical and biological studies in cancer including novel therapeutic and drug discoveries, prognostic and predictive biomarker developments, chemoprevention, high throughput genomics, proteomics & metabolomics, next-generation sequencing data-based investigations, epidemiological studies, comparative effectiveness research, clinical trial designs, and personalized medicine studies. Many of these projects draw upon Moffitt's Total Cancer Care initiative, which provides access to a comprehensive set of clinical and molecular data on a large number of cancer patients.

    The Ideal Candidate:
    • We seek candidates who can contribute to the many current clinical and basic science studies at Moffitt, as evidenced by a history of peer-reviewed publications and involvement in grant supported research projects.
    • Preference will be given to applicants with an outstanding record of team science or collaborative bioinformatics, with an emphasis in single-cell sequencing and high-throughput sequencing.
    • The candidate is expected to identify and resolve methodological issues that arise in collaborative research, as a major expectation is to identify areas of methodological research in which to engage that will benefit the candidate's collaborative research.

    RESPONSIBILITIES

    • Conduct independent and collaborative genomics-based research in bioinformatics, particularly in the area of single cell sequencing.
    • Team science collaboration to tackle a variety of cancer clinical and basic science research projects.
    • Communicate clearly and openly.
    • Build relationships to promote a collaborative environment.

    REQUIREMENTS

    Successful candidates must have a Ph.D. in biomedical informatics, bioinformatics, computational immunology, computer science, biostatistics or related field and relevant research training and experience.

    LOCATION

    Tampa, Florida

    COMPENSATION

    Salary and start-up package (based on research track) is competitive with similar institutions.

    Academic rank beyond Assistant Member will be commensurate with experience and qualifications. Appointment at the Associate Member rank requires a minimum of five years of experience at the Assistant Member/Assistant Professor level.

    HOW TO APPLY

    Visit MOFFITT.org/Careers and refer to requisition number #46302 or go to moffitt-cancer-center-careers.hctsportals.com/jobs[...]ember. Review of applications will begin immediately and continue until position is filled. Please be sure to attach your CV and cover letter. Questions about the opportunity may be directed to the search committee chair, Dr. Aik Choon Tan at AikChoon.Tan[at]Moffitt.org.

    ABOUT US

    Moffitt is affiliated with the University of South Florida and a University appointment is available in the rank of Assistant/Associate/Full Professor as applicable.

    Located in Tampa, this position welcomes someone who appreciates the great beaches and easy living associated with the Gulf Coast of Florida. Tampa is a thriving city with culture, restaurants and a high quality of life.

    POLICY

    Equal Employment Opportunity:
    Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.

    BACKGROUND

    The GRK2612 "Neurodevelopment and Vulnerability of the Central Nervous System" offers a 50% scientist position for a researcher (bioinformatician) in Neuroscience.

    The GRK2162 is an interdisciplinary group of basic and clinical neuroscientists working on neuropsychiatric and neurodegenerative diseases of adulthood such as depression, schizophrenia, Parkinson's disease and motor neuron disease. The mission of the research training group (RTG) is to further the development of prevention and treatment strategies for these diseases through a deeper understanding of the underlying pathophysiological mechanisms.

    RESPONSIBILITIES

    Your main responsibility will be to provide expert support for members of the research consortium in planning – omics experiments, to support the analysis of complex data sets (whole transcriptome-, whole methylome-, ChIP- and ATAC-sequencing, single cell RNA-sequencing), and to develop advanced bioinformatics analyses relevant to projects in the consortium.

    REQUIREMENTS

    • PhD degree in bioinformatics, computational biology, or a PhD degree in biological sciences with demonstrated experience in computational biology / bioinformatics
    • Advanced programming skills (e.g. R, Python)
    • Experience with bash/shell scripting
    • Prior experience in computational analysis of large-scale data sets
    • Knowledge in statistical methods in the context of biological systems
    • Excellent communication skills in English

    TERMS

    • The position is initially awarded for 2 years with the possibility for extension

    COMPENSATION

    • Association with the DFG-Research Training Group GRK2162 (www.grk2162.med.fau.de), offering unique access to scientific resources and networks for career development, training and mentoring
    • Support towards independent, responsible and flexible work
    • Family-friendly working conditions and professional equality

    HOW TO APPLY

    Please submit as a single pdf file via email to chi.lie[at]fau.de:
    (1) Letter of motivation
    (2) CV
    (3) Summary of Research Experience
    (4) List of publications
    (5) Names and contacts of two references

    DEADLINE

    Application closing date: 15.06.2021
    Applications will be considered on a rolling basis.
    Starting date: Summer 2021

    For further information, please contact chi.lie[at]fau.de and visit our websites www.biochemie.med.fau.de/lie and www.grk2162.med.fau.de.

     

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