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Senior Bioinformatics Scientist/Engineer

Bioscope AI
Posted 2 months ago, valid for 17 days
Location

Carmel, Hamilton 46082, IN

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The position of Senior Bioinformatics Scientist/Engineer is available in Carmel, IN, Boston, MA, or remotely within the U.S.
  • Candidates should have a PhD or an MS with at least 5 years of experience in Genetics, Genomics, Bioinformatics, or a related field, along with 4+ years of expertise in pharmacogenomics or polygenic risk scoring.
  • The role involves designing and validating clinical-grade genomic pipelines and requires proficiency in Python, AWS services, and experience in agile software environments.
  • The salary for this position is competitive and commensurate with experience, although specific figures are not provided in the job description.
  • Benefits include remote/hybrid work flexibility, comprehensive health plans, a 401k plan, and annual company-wide meet-ups.

Position Title: Senior Bioinformatics Scientist/Engineer

Location: Carmel, IN (preferred) / Boston, MA / U.S. Remote available

Employment Type: Full-time

Role Overview

Join the AI-first team that is transforming precision medicine into everyday clinical practice. Our platform integrates whole-genome sequencing, microbiomics, electronic medical records, and AI reasoning to generate mechanism-based guidance for physicians.

As a Senior Bioinformatics Scientist/Engineer, you will play a major role in designing, validating, and continuously improving clinical-grade pipelines across pharmacogenomics (PGx), polygenic risk scoring (PRS), and other WGS applications.

You will be expected to produce production-grade tools capable of deriving clinical utility from raw genomic data. You'll work hand-in-hand with software engineers, medical subject matter experts, and regulatory leaders to deliver clinical grade interpretations directly in the hands of physicians.

What You'll Own

Pipeline Design & Validation Architect and optimize clinical genomics pipelines in your area of expertise:

- PGx track: Star-allele calling pipelines (e.g., CYP2D6, CYP2C19, DPYD, TPMT) handling complex structural variation, gene duplications, and hybrid alleles.

- PRS track: Polygenic risk scoring pipelines with integrated multi-ancestry PRS models and clinical calibration utilizing traditional WGS SNV/INDEL variant calling plus phenotypic data.

Extend existing 30X WGS infrastructure to support robust feature extraction and clinical annotation.

Annotation & Interpretation Curate and maintain annotation stacks integrating domain-specific databases (PharmGKB, CPIC, PharmVar, PGS Catalog) and proprietary AI-derived knowledge graphs. Build automated cadenced updates of clinical-grade knowledge sources to feed the AI engine.

Data Quality & Compliance Implement validation, reproducibility, and audit trails; pipeline change-control logs; briefing decks.

Collaboration & Mentorship Partner with software and AI engineers to integrate genomic features into AI models. Participate in cross-team design reviews and internal workshops on clinical curation and validation.

Minimum Qualifications

- PhD (or MS with 5+ yrs experience) in Genetics, Genomics, Bioinformatics, Computational Biology, or related field.

- 4+ yrs deep expertise in one of the following:

- Pharmacogenomics: star-allele calling, diplotype assignment, phenotype prediction, complex locus resolution

- Polygenic risk scoring: PRS development (PRS-CS, LDpred, etc.), multi-ancestry methods, clinical calibration, integrated scoring with phenotypic+monogenic data

- Solid grasp of variant calling (DRAGEN, GATK), structural variant/copy number variant detection, and functional annotation methods.

- Proficiency in Python for production-grade code, full unit-test coverage, REST API usage, reproducible statistical analysis, and visualizations; AWS database resource familiarity.

- Experience working in an agile based software organization, clearly documenting ticketed work, and modifying code in git-tracked production code bases.

- Comfort with AWS services (Lambda, Fargate, Step Functions, Glue, Athena).

- Highly comfortable with AI-based development tools (Claude Code, Cursor, OpenAI Agents).

Preferred Qualifications

- Exposure and familiary with other 'omics' (proteomics, epigenomics, transcriptomics)

- Strong communication skills鈥攁ble to translate genomic insights into plain language for physicians, regulators, and engineers.

- Experience contributing to or curating clinical-grade databases in your domain.

- Prior authorship of clinical validation studies published in peer-reviewed journals.

- Experience integrating multi-omics datasets or developing multi-modal AI features.

Success Metrics - First 12 Months

- Production pipeline in your domain validated and integrated into the clinical decision-support platform by month 3.

- Expanded clinical coverage鈥攁dditional genes, conditions, or ancestry groups validated by month 6.

- Active maintenance and iteration of your module with exploration of adjacent omics integrations by month 9.

- Contribute significant improvements and optimizations across the broader genomics platform and bioinformatics infrastructure by month 12.

Tech & Tool Stack

Python 路 Jupyter 路 REST APIs 路 AWS Batch/EKS/Lambda/ECS 路 AWS S3 路 AWS Glue/Athena 路 PostgreSQL 路 Nextflow 路 DRAGEN 路 GATK 路 Stargazer/Cyrius 路 PharmCAT 路 PGS Catalog 路 PRS-CS 路 GitHub Actions 路 Docker

Benefits

Remote/Hybrid flexibility 路 Comprehensive health/dental/vision plans 路 401k Plan 路 Annual company wide meet-ups




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