***LOCAL CANDIDATES ONLY. NO RELOCATION OR SPONSORSHIP AVAILABLE FOR THIS ROLE.***Pay: $65-77/hour
Details: 1 Year Contract
Qualifications: Work location is either Boston or Cambridge MA,
Education Minimum Requirement:
- Ph.D. in Bioinformatics, Biostatistics, Computational biology, Computer Science, Genetics, Immunology, Mathematics, Molecular Biology, Statistics, or related field
- Masters degree in the above disciplines, with 3 years of relevant experience
- B.S with 6+years of relevant experience.
Required Experience and Skills:
- Passion to solve biological problems and identify problems that can be efficiently solved through computational methods and algorithms.
- Experience with computational analysis and biological interpretation of diverse large-scale NGS experimental datasets
- Proficiency in at least one statistical programming language, such as R or Python
- Familiarity with public databases, and repositories of DNA, RNA and single cell profiling data
- Skilled at integrating results generated from multiple omics data sources, and biological knowledge bases to customize analytical approaches for discovery research.
- Interest in identifying novel applications of AI / machine learning strategies for biological target discovery.
- Demonstrate the ability to learn, be proactive and motivated, and consistently focus on details and execution.
- Excellent oral and written communication skills P
- Previous experience with experimental design of biological assays, statistical hypothesis testing, and biological interpretation
- Understanding the pros and cons of various algorithms for DNA-seq, RNA-seq, single-cell RNA-seq and/or functional genomics data
- Experience with version control environments, such as Git
- Experience with high-performance Linux cluster and cloud computing
Responsibilities: The Data, AI & Genome Sciences department is looking for a passionate and talented computational biology scientist to join our Computational Biology and Genomics research team for a contract role based in Cambridge / Boston, MA. In this role, you will apply machine learning and bioinformatics approaches to analyze large multi-scale and multi-omics datasets in collaboration with cross-functional teams of computational biologists, data scientists and colleagues in Discovery Research to support target discovery and drug development efforts. Oncology research is driven by a deep interest in the biology of tumor and its microenvironment, and how diverse points of intervention can be combined to achieve ever higher rates of durable response and patient overall survival. In this exciting role, you will: * Contribute to multiple stages of drug discovery to decode genetic dependencies and identify therapeutic targets by interrogating high-throughput assays, including genomics, transcriptomics, and proteomics datasets. * Collaborate with experimental scientists across functions to characterize novel targets coming from genetics, translational and disease pathway exploration, explore target engagement, research mechanisms of action, and provide functional validation of novel drug targets. * Work with large internal and public biological data sets including Next Generation Sequencing (NGS) data (e.g. RNA-Seq, Perturb-Seq, single cell RNA-Seq, WGS, CRISPR) * Be proactive and work collaboratively across disciplines, including molecular biologists, protein scientists, bioinformaticians, and software engineers. * Employ best reproducible research and data integrity practices to generate reusable analysis frameworks and reports to support Discovery Oncology target identification and validation efforts.