Machine Learning Research Scientist

Blank Bio
San Francisco
Workplace: OnsiteFull timeUSD 150,000 - 250,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Problem-solving","Independence"]

Join the founding team to design and build RNA foundation models, developing novel ML methods, benchmarks, and evaluation frameworks. You’ll analyze large-scale RNA sequencing data, collaborate with experimental and clinical partners, and shape model trajectories from early discovery to clinical applications in a fast-paced TechBio startup.

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FursaFursa
Blank Bio
Blank Bio
10 months ago

Machine Learning Research Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Join the founding team to design and build RNA foundation models, developing novel ML methods, benchmarks, and evaluation frameworks. You’ll analyze large-scale RNA sequencing data, collaborate with experimental and clinical partners, and shape model trajectories from early discovery to clinical applications in a fast-paced TechBio startup.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and prototype new ML methods (representation learning, generative modeling, contrastive pretraining) for RNA biology.
  • •Develop benchmarks and evaluation frameworks for tasks spanning diagnostics, patient stratification, biomarker discovery, and RNA design.
  • •Analyze large-scale sequencing datasets (bulk RNA-seq, single-cell, long-read) to inform model development and evaluation.
  • •Collaborate with experimental and clinical partners to validate predictions in diverse biological and medical settings.
  • •Help define both the science and the culture of a company at the beginning of its journey.

Pay and Benefits

Salary: USD 150,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionEquityPaid LeaveParental Leave

Key Requirements

  • •PhD (or equivalent experience) in Machine Learning, Computational Biology, or related fields
  • •Demonstrated track record in ML research (publications, impactful projects, or deployed systems)
  • •Expertise in representation learning, generative models, or large-scale sequence modeling
  • •Ability to independently design and execute research projects
  • •Nice-to-haves: Familiarity with transcriptomics, RNA biology, or other -omics data
Experience:RNA biologyBioinformaticsBiotechMachine learning
Education:PhD / Doctorate in Machine Learning/Computational Biology
Skills:CommunicationCollaborationProblem-solvingIndependence
Tech Stack:RNA sequencingBulk RNA-seqSingle-cell sequencingLong-read sequencing

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

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Operates a platform providing tools, resources, and services for life science researchers and labs to streamline experimental workflows, data management, and collaboration while improving reproducibility and productivity in biological research.
Industry: Scientific Research
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