(Senior) Scientist, Computational Biology

Proclinical is currently recruiting for a (Senior) Scientist of Computational Biology with a global biotechnology company located in Cambridge, MA. As the Senior Scientist, you will be a critical thought leader in the company, collaborating closely with discovery and development scientists.

Job Responsibilities:

• Identify novel immuno-oncology targets by utilizing integrative approaches to multi-modal omics datasets
• Drive tumor antigen discovery to feed vaccine and cellular therapies pipelines (including CAR, TCR, and ex vivo induced T cells)
• Conduct correlative analysis of patient outcomes, phenotypes, and immune readouts with diverse high dimensional data types to identify biomarkers and mechanistic hypotheses about response and resistance to novel immunotherapies.
• Develop innovative, robust, analysis pipelines that can be applied in research and clinical settings
• Liaise with lab scientists and software engineers as a project team member and provide expertise as a scientific resource for key company programs
• Identify, develop, manage, and contribute to external collaborations and partnerships
• Provide guidance on experimental design and data interpretation by liaising with lab scientists
• Serve a project team member and a scientific resource for key company programs

Skills and Requirements:

• Ph.D. in bioinformatics, computational biology, systems biology or a related discipline with a strong record of publications/patents is required.
• Experience developing and optimizing NGS based software for cancer and/or immunology research (e.g., variant calling, gene expression, epigenetic analyses, single-cell sequencing approaches).
• Fluency in SAM/BAM file format specifications and other standard bioinformatic formats.
• Proficiency with the following:
• Use of Linux in a cluster-computing environment.
• Experience applying statistical fundamentals to biological datasets.
• Fluency in Python and/or R (strictly required).
• Experience integrating diverse NGS and nonNGS data sets to identify cancer drivers, predictive biomarkers, or mechanistic hypotheses
• Experience with mining public data sets, such as TCGA, GTEx, and CCLE
• Demonstrated ability to formulate and test hypotheses by designing and implementing novel computational approaches
• Capacity to prioritize and work independently to complete tasks and advance projects with minimal supervision
• Ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and nonscientists to translate emerging research to guide internal programs
• Strong written and verbal skills; ability to translate and communicate complex information and concepts for scientists of diverse backgrounds
• Positive and collaborative attitude; ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and nonscientists to translate emerging research to guide internal programs
• Capacity to prioritize and work independently to complete tasks and advance projects with minimal supervision
• Creative and innovative thinking; track record of thought leadership
• Familiarity with the basics of immunology
• Expertise analyzing gene expression signatures, especially as they relate to tumor purity and infiltration of immune cell types
• Previous experience implementing neural networks, logistic regression, and other machine learning approaches.

If you are having difficulty in applying or if you have any questions, please contact Max Robinson at (+1) 617-903-7746 or m.robinson@proclinical.com.

Proclinical is a specialist employment agency and recruitment business, providing job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies.

Proclinical Staffing is an equal opportunity employer.

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