Job Description:
If you are a Computational Biologist with a PhD and Python and R experience, please read on! What You Will Be Doing:
Additional Info:
Top Reasons to Work with Us:
If you are a Computational Biologist with a PhD and 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
- 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)
- 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
- 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.
Requeriments :
Skills :
- immunology
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing in Python
- Programming in R
- Statistics
Areas :
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.