Sr. Clinical Bioinformatics Scientist

Posted 25 Days Ago
Be an Early Applicant
Houston, TX, USA
In-Office
50K-100K Annually
Senior level
Biotech
The Role
The Clinical Bioinformatics Scientist develops genomic pipelines and analyzes genetic data for clinical insights, ensuring compliance with regulatory requirements.
Summary Generated by Built In

Our Purpose

Our mission is to build a healthier and more connected world with precision health and genealogy services. We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, FamilyTreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting-edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.


Our Values

All employees are expected to demonstrate our values of Innovate, One Team, and Integrity when carrying out the accountabilities and responsibilities of their role. This how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.


Position Overview

Gene By Gene is seeking a senior-level Clinical Bioinformatics Scientist to develop and maintain high-throughput genomic pipelines in a regulated clinical laboratory environment (CLIA/CAP). The position will involve transforming raw next generation sequencing (NGS) data into actionable clinical insights, ensuring the accuracy, scalability, and security of diagnostic assays.


Accountabilities and Responsibilities

  • Pipeline Development: Design, optimize, and validate new automated bioinformatics  workflows for genetic variant calling, including the following: 
    • Using or developing software to receive, process, and analyze genetic data.
    • Assessing software and programs for suitability to achieve desired analysis goals 
    • Determination of appropriate analysis parameters and thresholds for identification and  evaluation of genetic markers of interest 
    • Designing defined analysis protocols within the software for routine use by other data  analysts, including pre-set filters and settings 
    • Validation of developed protocols to demonstrate accurate generation and reporting of  results 
    • Writing or revising code to aid in the processing or analysis of samples though the lab
  • Variant Analysis: Use developed analysis pipelines to implement algorithms for detection of  SNV’s, Indels, CNV’s, and structural variants from genetic data.
  • Clinical Validation: Complete and document the analytical validation of bioinformatics tools to  meet regulatory requirements for clinical use, including the analytical validity of risk models to  satisfy CLIA / CAP / ACMG requirements.
  • Data Management: Oversee large-scale genomic datasets, ensuring data integrity, security, and  HIPAA compliance
  • Quality Control: Establish automated QC metrics to monitor run performance and data integrity.
  •  Collaboration: Work with laboratory directors, clinical geneticists, the research and  development team, and IT professionals to integrate and implement bioinformatics tools to  fulfill client reporting requirements. 
  • Report Generation: Work with laboratory directors, clinical geneticists, and IT professionals to  create clinically validated reporting pipelines for genetic data interpretation, including  Monogenic and Polygenic Risk Scores, Pharmagogenomics (PGx) interpretation, and Carrier  Screening.
  • Troubleshooting: Resolve technical issues in production pipelines to prevent delays in client  report generation and delivery.


Position Requirements

  • Doctoral Degree in Bioinformatics, Computational Biology, Statistical Genetics, or a related field with 5+ years post-graduate experience. 
  • Understanding of general molecular biology and genetic laboratory procedures. 
  • Ability to apply theoretical knowledge of genetics towards interpretation of genetic data to  generate clinical reports.
  • Expertise with bioinformatics principles and ability to apply this knowledge towards  implementation of genetic analysis programs and clinical report generation pipelines.
  • Knowledge of clinical laboratory regulatory requirements for clinical diagnostics and reporting,  including familiarity with HIPAA, CLIA, NYSDOH CLEP standards, and ACMG variant  interpretation classifications.
  • Understanding of population genetics and statistical modeling to account for ancestry, ethnicity,  and environmental factors in the calculation of risk scores for complex traits.
  • Understanding of genetic imputation and haplotype phasing determination, and ability to  ensure that imputed data meets strict quality control thresholds for clinical use.
  • Familiarity with machine learning for genomic functional prediction and pattern recognition.
  • Familiarity with multiple NGS instrumentation platforms and their file formats (eg. Illumina,  Ultima Genomics, Complete Genomics, Oxford Nanopore, etc.) and ability to create platform agnostic analysis pipelines, adaptable to various platforms.
  • Expertise or Familiarity with the following (or similar) environments, databases, coding  languages, software suites, data analysis tools, etc.: 
    • Command Line, Python, R, Java, shell scripting (Bash) 
    • SQL and database administration 
    • Strong command of Linux/Unix environments 
    • Cloud computing (AWS, Google Cloud, or Azure) 
    • Containerization (Docker, Kubernetes) 
    • Software version control tools (Git) 
    • NGS analysis tools and variant annotation databases: FastQC, Samtools, Bamtools,  VCFTools, BWA, GATK, ClinVar, gnomAD  
    • Bioinformatics tools for analysis of large-scale genomic data (PLINK, Eagle2, Beagle, etc.)
    • Workflow managers (Nextflow or similar) 
    • Genetic databases and reference standard repositories (NCBI GenBank, RefSeq,  ENSEMBL, Genome Reference Consortium etc.) 
    • Global and population-specific genetic reference panels (TOPMed, 1000 Genomes  Project, Haplotype Reference Consortium, GenomeAsia, African Genome Resource,  etc.)


Why Join Us

At Gene by Gene, you’ll join a mission-driven team advancing the science of genetics and discovery. You’ll have the opportunity to shape meaningful campaigns, tell compelling brand stories, and collaborate with talented professionals who share your passion for creativity, curiosity, and impact.


Comprehensive Benefits

  • Medical & Health Savings: Choice of 3 medical tiers generously sponsored by the company, with a monthly $50–$100 employer HSA contribution based on plan type and dependent level.
  • 100% Covered Dental & Vision: No premium costs for employees or dependents.
  • 401(k) Matching: Generous 50% company match up to 6% of annual base salary.
  • Diverse PTO Framework: Structured time off incorporating vacation, sick leave, mental health days, personal days, company holidays, and a flexible floating holiday.
  • Income Protection & Family Leave: Full company sponsorship of Short-Term and Long-Term Disability (STD/LTD) alongside Paid Family Leave offerings.

Skills Required

  • Doctoral Degree in Bioinformatics, Computational Biology, Statistical Genetics, or a related field
  • 5+ years post-graduate experience
  • Understanding of molecular biology and genetic laboratory procedures
  • Familiarity with clinical laboratory regulatory requirements
  • Expertise with bioinformatics principles
  • Knowledge of Cloud computing environments
  • Familiarity with machine learning for genomic prediction
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The Company
HQ: Houston, TX
112 Employees
Year Founded: 2000

What We Do

Gene by Gene offers a wide range of affordable genetic testing lab services using cutting-edge biotechnology, giving unparalleled insight into ourselves and our future.

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