Variant Bio

Variant Bio

(Associate) Scientist, Health Data

Seattle, Washington, United States

Sponsorship not specified$100k-$150kDetected 12 days ago
PythonGitSQLAWSCloud PlatformsMachine LearningData EngineeringData SciencePublic HealthBioinformaticsqPCRMolecular BiologyResearchLab ResearchExperimental DesignProtein AnalysisCommunicationProblem SolvingBiostatisticsEpidemiology

About the role

  • Success in this role depends on good scientific judgment about how data is produced: an instinct for where recruitment, sampling, batching, or measurement can introduce bias in genomic studies.
  • We value curiosity and resourcefulness alongside technical skill.
  • There is room to grow from running and adapting existing processes toward owning pipelines and contributing to downstream analyses.

Responsibilities

  • Curate, clean, and harmonize multi-omic, survey, biochemistry, and clinical data from international field sites and partner cohorts, reconciling differences across studies, platforms, and sites.
  • Build reproducible QC (validation checks and anomaly detection) that flags problematic data
  • drive solutions to trace root causes and suggests long term solutions.
  • Contribute to study design, sample selection, and randomization schemes for multi-omic data generation.
  • Run and adapt the ETL/ELT pipelines that ingest field data with room to own them over time.
  • Support quality data generation through occasional wet lab work including aliquoting, protocol testing, and sample QC.
  • Build reproducible QC (validation checks and anomaly detection) that flags problematic data; drive solutions to trace root causes and suggests long term solutions.
  • In this role you will own the curation, quality control, and harmonization of multi-omic, survey, biochemistry, and clinical data as it arrives from field sites around the world.
  • You will help develop the standards and pipelines that keep that data trustworthy at scale, spanning the full path from bench work to downstream analysis.

Requirements

  • Basic proficiency in R, Python, or a similar programming/scripting language.
  • Prior wet lab experience in molecular biology or related context.
  • comfortable working at the edge of your expertise and drawing on a cross-functional team to solve unfamiliar problems.
  • familiarity with workflow managers (e.g., Nextflow), databases (e.g. SQL), version control (Git), and HPC/cloud environments (e.g., AWS, Slurm).
  • Experience with REDCap or similar electronic data capture (EDC) platforms.
  • Familiarity with data harmonization frameworks - common data elements, common data models, or FAIR principles, including metadata schemas and data dictionaries.
  • Experience with multi-omic data (proteomic, transcriptomic, metabolomic) generation, and an understanding of how multi-omic and phenotypic evidence is used to identify and prioritize therapeutic targets.
  • Prior experience with nucleic acid extraction and QC, qPCR, and/or ELISA assays.
  • Experience with human subjects research, IRB/ethics workflows, or international multi-site collaborations.
  • Familiarity with biomedical coding systems and ontologies (ICD-9/10, Phecodes, HPO, etc.) for defining and harmonizing phenotypes across cohorts.
  • Must Have...
  • MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health, computational biology, or a related field - or bachelors with a minimum of 2 years relevant professional experience.
  • Demonstrated experience with large, imperfect real-world datasets (multi-omic, survey, biochemistry, and/or clinical) and a track record of catching quality issues before they reach an analysis and tracing them back to their cause.
  • Genomic study-design literacy: Able to recognize when recruitment, sampling, batching, or measurement decisions could introduce bias or confounding, and what the resulting data can and cannot support.
  • A learning mindset and creative problem-solving
  • Strong attention to detail and record-keeping, and the ability to manage parallel workflows across multiple studies.
  • Clear communication and comfort collaborating across a cross-functional, international team.
  • Ability to be onsite in the Seattle office a minimum of three days a week.
  • Nice to Have...
  • Experience developing and owning data pipelines

Benefits

  • Competitive Compensation & Equity - Market-competitive salary with the opportunity to participate in company equity and share in our long-term success.
  • Comprehensive Health Benefits - Variant Bio covers 100% of employee premiums for medical, dental, and vision insurance.
  • Flexible Time Off - Flexible paid time off and company holidays, with an emphasis on trust and personal responsibility.
  • 401(k) Plan - Employer-sponsored retirement plan with company match.
  • Professional Growth - Support for learning and development.
  • Collaborative, Mission-Driven Culture - Work alongside a highly engaged, interdisciplinary team passionate about transforming human health through genetics.
  • Variant Bio is developing life-saving therapies by studying the genes of people with exceptional health-related traits.
  • With ethics at its core, the company launched an unprecedented benefit-sharing program in 2020, in which it has pledged tangible benefits that directly impact the communities it partners with throughout the world.
  • A learning mindset and creative problem-solving; comfortable working at the edge of your expertise and drawing on a cross-functional team to solve unfamiliar problems.
Apply directly at Variant Bio →Create a free account for alerts like thisView Variant Bio immigration profile

This listing is sourced directly from Variant Bio's careers page and normalized into a canonical job model.