Location: Boston, Massachusetts, United States
Mid sized Biotech company that focuses on Cancer therapeutics. This company is a spinoff from one of the largest Pharma companies in the world and has unlimited resources to be successful.
Principal Duties and Responsibilities:
- Lead the data science effort of clinical biomarker as an integral members of the clinical program. Activities include but are not limited to identification and validation of clinical biomarkers from clinical trials, and applying real world data and evidence to support clinical programs.
- Represent data science discipline in clinical development team to provide broad range of support and ensure best use of all relevant data impacting project decisions; interpret and present scientific results with clear conclusions and recommendations.
- Work with biostatistics team to ensure quality analysis to support external publications and regulatory communications.
- Work with discovery and translational leaders to identify biomarker hypotheiss from preclinical studies.
- Work with clinical development and discovery teams to analyze real workd data (RWD) to support trial design, biomarker validation and target identification
- Contribute to team effort in computational NGS analysis (RNAseq, DNAseq, single cell sequencing) and proteomics data analysis; including identifying fit-for-purpose tools and pipelines, implementing or/and working with vendors to streamline the workflow in suitable computing environment
- Contribute to the development of innovative data management / integration and information intelligence solutions:
- Act as bridge between end users and developers to clarify and define system requirement.
- Provide bioinformatics support to ensure data quality and usability.
- Maintain expertise in state-of-the-art data science and cancer genomics methods.
- Proactively communicate to supervisor and key stakeholders of activities and status.
- Generate patent, technical documents, external publications and presentation.
- Work with external vendors to achieve business goals.
- Must be able to multi-task.
- Ph.D in bioinformatics, computational biology, computer science, or related field. Hands on experience in the area of oncology or oncogenomics preferred
- Expertise in computational tools and pipelines for data analysis including but not limited to:
- NGS data, including RNAseq, WES and WGS, single cell sequencing
- Diverse types of omics data such as genomic alterations, transcriptome profiling, copy number profiling, as well as data from various proteomics platforms
- Experience in other biomarker (eg, PCR/IHC) analysis is preferred
- Solid understanding of statistical analysis principles and expert user of the statistical data analysis tools / packages, such as R/bioconductor, python, matlab, or equivalent
- Strong computational and engineering skills including database and software development training / experience, ability to independently manipulate large datasets in Unix/Linux environment; experience with AWS a plus
- Experience with Real World Data (RWD) is a plus
- Must be a quick learner with strong curiosity, and stay at forefront of technologies in the area of computational biology and genomics
- Proficiency in common cancer genomics / bioinformatics databases and tools
- Ability to understand real world problems thoroughly and propose fit-for-purpose solutions to the right question; ability to independently design and perform diverse bioinformatics tasks to answer questions impactful for projects
- Experience with data visualization as an effective way of presenting and communicating results
- Must be a team player and willing to help and ask for help; excellent written and verbal communication skills; excellent interpersonal skills with a proven record of interacting with bench scientists effectively.
Complete the form below to apply for the Investigator I/II – Data Science role: