Computational Biologist w/ R & Python Experience (Cambridge, MA)

Job Description:
If you are a Computational Biologist with Python and R experience, please read on!

What You Will Be Doing:

• Enhance molecular characterization of tumors for both clinical and research setting by designing and evaluating novel integrative approaches to the analysis of NGS cancer exome and transcriptome data
• Correlative analysis of patient outcomes, phenotypes, and immune readouts with diverse high dimensional data types (NGS-based, ) to identify biomarkers and mechanistic hypotheses about response and resistance to cancer vaccines and other therapies
• Identify and interpret gene expression signatures related to cancer pathways and immune infiltration
• Develop innovative, robust, analysis pipelines that can be applied in research and clinical settings
• Drive analysis and idea-generation related to epitope selection for Neon's cancer vaccine and T-cell based therapies
• 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

What You Need for this Position:

• Ph.D. in bioinformatics, computational biology, genetics or a related discipline + 3 to 5 years of relevant experience as a scientist in an industry or academic setting with a strong record of publications/patents
• Experience developing and optimizing NGS-based software, especially that which relates to custom variant detection (for fusions, microsatellites, etc.) and variant phasing
• Experience executing, optimizing, and pipelining GATK tools
• Fluency in SAM/BAM file format specifications and the use samtools and pysam to interpret these files and evaluate variant support; familiarity with gene and variant annotation files (GTFs, VCFs)
• Technical proficiencies, including:
• Use of Linux. Experience in a cloud environment preferred
• Familiarity and experience applying statistical fundamentals
• Fluency in R and python (strictly required)
• Experience integrating diverse NGS and non-NGS data sets to identify cancer drivers, predictive biomarkers, or mechanistic hypotheses
• Experience with mining public data sets, such as TCGA, GTEx, and CCLE

Additional Qualifications:

• 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. Experience using GLMs, keras, or pytorch is preferred.

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Requeriments :

• Doctorate Degree

Skills :

• Cloud Computing
• immunology
• Lunix/Unix
• Machine Learning
• Next Generation Sequencing
• Programing in Python
• Programming in R
• Statistics

Areas :

• Computational Biology

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Additional Info:
Top Reasons to Work with Us:

• Based in Cambridge, MA, we are a rapidly-growing biotech startup.
• We have raised over $125 million in funding to help propel us in our journey to beat cancer.
• You will get the chance to work on exciting, life-changing projects.

What's In It for You:

• Competitive base salary between $90-120k (depending on experience)
• Equity
• 401k
• Medical/Dental/Vision Coverage
• PTO/Vacation
• Paid Holidays
• Relocation Assistance

So, if you are a Computational Biologist with Python and R experience, please apply today!

Email Your Resume In Word To:

Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:

Reed.Kellick@CyberCoders.com

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Reed Kellick - Recruiting Manager - CyberCoders

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