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Company

Original Job Post

FogPharma · 2 days ago

Sr. Scientist, Machine Learning

Cambridge, MA

Full-time

Onsite

Senior Level

4+ years exp

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BiopharmaBiotechnology

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Responsibilities

Provide scientific leadership and machine learning (ML) expertise for, but not limited to, Helicon hit identification, targeted screening library designs, hit-to-lead progression using multi-objective optimization, new drug-target assessments and advancing drug-pipeline projects towards clinic.

Develop foundation models leveraging Fog's in-house data along with suitable related data sets

Develop and implement novel machine learning methods for predicting HeliconTM properties and functional outputs.

Support, develop and productionize our internal protein generation efforts and streamline nominations of HeliconTM designs for downstream experiments.

Evaluate and, where appropriate, adopt and fine-tune state of the art protein-based ML models for our internal HeliconTM-to-function modeling efforts.

Deploy, manage, and optimize ML models in production, using MLOps capabilities.

Employ rigorous data science and software engineering best practices in your day-to-day work.

Establish a strong cross functional collaborative-network within Fog and with external partners

Qualification

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Data ProcurementModel TrainingPredictive ModelingNatural Language ProcessingGraph-based ModelsDeep Generative ModelsAutoregressive ModelsVAEsDiffusionTransformersPyTorchTensorflowJAXScikit LearningDeepchemPythonPandasNumpyScipyBiological ModelingExperimental ValidationActive LearningCollaboration

Required

PhD or M.S. in Computational Biology, Computer Science, or related scientific field with 2+ (PhD), or 4+ years (M.S.) of industry experience, developing and applying machine learning models within the pharmaceutical or biotechnology or related field.

Demonstrated understanding of critical assessment of data procurement, data preparation, model training and predictive model quality.

Expertise/specialization developing natural language, or graph-based models from scratch.

Practical experience developing deep generative models (e.g., autoregressive models, VAEs, Flows, Diffusion, or Transformers)

Fluency in PyTorch or Tensorflow or JAX and scikit learning is mandatory. Familiarity in specialized ML libraries (e.g. Deepchem) a plus.

Fluency in python scientific/data stack (pandas, numpy, scipy etc.) is mandatory

Preferred

Experience in modeling biological sequence/structure-to-function relationships and collaborating with experimental biologists to validate predictions is a plus.

Experience in active learning approaches is a plus.

Company

FogPharma

FogPharma is a biopharmaceutical firm that develops precision medicines for the vast majority of therapeutic targets.

Founded in 2015

Cambridge, Massachusetts, USA

51-200 employees

http://www.fogpharma.com

H1B Sponsorship

FogPharma has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (1)

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2020 (2)