Computational Biologist

Job ID:
Job date: 2018-05-14
End Date: 2018-07-13

Company : Neon Therapeutics 

Country : United States 

Role : Research Scientist 


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Job Description:
We are seeking an innovative, collaborative and enthusiastic computational scientist to work on a variety of high-dimensional bioinformatics projects centered on target identification, drug discovery, and translational research. The individual will integrate clinical and research datasets, including mass spectrometry and next-generation sequencing data. The successful candidate will be one who can develop novel methods, analysis strategies, and tools to filter and distill multi-dimensional datasets to focused hypotheses to drive clinical and discovery research. A critical component of the job will be the close collaboration with multi-disciplinary internal discovery teams and external collaborators. This individual will be a critical thought leader in the company, collaborating closely with discovery and development scientists.

Responsibilities:

  • 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
Qualifications:
  • 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
  • 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 non-scientists to translate emerging research to guide internal programs
  • Ability to identify partners/consultants to complement internal bioinformatics efforts
  • Proficient written and verbal communication skills, particularly of complex information and concepts
  • Creative and innovative thinking; track record of thought leadership
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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Additional Info:
Neon Therapeutics is an immuno-oncology company focused on developing novel therapeutics leveraging neoantigen biology to treat cancer. Neon utilizes its expertise in bioinformatics, neoepitope prediction and immune monitoring to identify tumor specific mutations and monitor clinical response to their personalized vaccines. Neon Therapeutics’ lead program is NEO-PV-01, a bespoke neoantigen vaccine that builds upon years of research and development at the Broad Institute and Dana-Farber Cancer Institute. NEO-PV-01 is now being studied in a Phase 1b clinical trial combining the vaccine with Opdivo®, a PD-1 immune checkpoint inhibitor from Bristol-Myers Squibb, in patients with measurable metastatic melanoma, non-small cell lung cancer and bladder cancer. Three additional clinical trials are planned for 2018. Also in development are NEO-PTC-01, a bespoke autologous T cell therapy, and NEON / SELECT, a Shared Neoantigen Program leveraging neoepitopes that are common across patients and tumor types. In addition, Neon has established strategic partnerships with CRISPR, Merck, and Apexigen, among others. By the end of 2018, it is anticipated there will be multiple clinical programs utilizing Neon’s platform.

Neon Therapeutics was incubated and launched by Third Rock Ventures and raised a $55M Series A in 2015 and, more recently, a $106M Series B in 2017

To apply, please send your resume to careers@neontherapeutics.com.

[Click Here to Access the Original Job Post]