myGwork - LGBTQ+ Business Community · 2 days ago

Senior Machine Learning Research Scientist

Cambridge, MA

Full-time

Onsite

Senior Level

$100K/yr - $166K/yr

2+ years exp

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Responsibilities

Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. This includes data from genomics, proteomics, metabolomics, and other biological sources.

Advance the internal machine learning tech stack to cope with spurious correlation, obscuring variation and inherent multimodality of biomedical, chemical, and ‘omics data

Research, design and implement learning algorithms for analysis problems related to drug discovery

Be an active member of a highly interdisciplinary team

Conceive, execute and evaluate studies and experiments, interpret the results and present them to scientist in other functions

Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

Qualification

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BiologyComputational BiologyStatisticsMachine LearningData AnalysisDrug Discovery ResearchMachine Learning DevelopmentPublication RecordPyTorchLightningPython ProgrammingGPU ComputingVersion ControlPrototypingProductionizationProblem-SolvingCreativityCollaborationCommunication

Required

Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline

PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences

Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.)

Proven expertise in developing machine learning for computational biology

Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion

Strong publication record and demonstrated contributions to the field

Solid expertise with ML libraries such as PyTorch, Lightning is mandatory! Programming skills in Python must be top-notch. Experience with relevant libraries of the Python scientific stack is a big plus.

Familiarity with GPU computing both on-premises and on cloud platforms

Fluency with common version control tools and collaborative coding

Passion and curiosity for data and proven ability to take ideas from prototype to production

Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication