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Senior Bioinformatics Consultant Jobs (NOW HIRING)

UAB NOVA RENT

Bioinformatician I (Temp)

Birmingham, AL · On-site

Provides consultation services and training on bioinformatics-related concepts, applications and ... Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX ...

Saviance

Senior System Administrator - Genomics

Boston, MA · Remote

$93.40K - $126.60K/yr

... remote-first technology consulting firm specializing in AI/ML, data engineering, cloud ... Experience supporting genomics, bioinformatics, or life sciences environments preferred

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How much do senior bioinformatics consultant jobs pay per year?

As of May 28, 2026, the average yearly pay for senior bioinformatics consultant in the United States is $102,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Bioinformatics Consultant, and why are they important?

To thrive as a Senior Bioinformatics Consultant, you need advanced knowledge of bioinformatics, genomics, and statistical analysis, typically supported by a graduate degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with next-generation sequencing (NGS) analysis tools, and familiarity with bioinformatics databases are crucial. Strong problem-solving, effective communication, and project management skills help you collaborate with cross-disciplinary teams and translate complex data into actionable insights. These skills ensure the delivery of robust data-driven solutions to scientific and clinical partners, driving impactful research outcomes.

How does a Senior Bioinformatics Consultant typically collaborate with research teams and stakeholders across projects?

As a Senior Bioinformatics Consultant, you will frequently work closely with multidisciplinary teams, including biologists, clinicians, and software engineers, to interpret complex biological data and provide actionable insights. This collaboration involves regular meetings to discuss project goals, progress updates, and troubleshooting data analysis challenges. You may also be responsible for translating technical results into clear, non-technical reports for stakeholders, facilitating decision-making. Effective communication and project management skills are crucial, as you often coordinate tasks across multiple ongoing projects.

What does a Senior Bioinformatics Consultant do?

A Senior Bioinformatics Consultant leverages advanced computational and analytical skills to interpret complex biological data, often working with genetic, genomic, or clinical datasets. They advise researchers, pharmaceutical companies, or healthcare organizations on data analysis strategies, workflow optimization, and the implementation of bioinformatics tools. Their responsibilities may include designing experiments, developing custom software solutions, and translating scientific findings into actionable insights. Additionally, they often mentor junior team members and serve as a bridge between biological scientists and IT professionals.

What is the difference between Senior Bioinformatics Consultant vs Bioinformatics Analyst?

AspectSenior Bioinformatics ConsultantBioinformatics Analyst
Required CredentialsBachelor's/Master's in Bioinformatics, Computer Science, or related; experience in consultingBachelor's or Master's in Bioinformatics, Biology, or related; entry to mid-level experience
Work EnvironmentConsulting firms, biotech companies, research institutionsResearch labs, healthcare organizations, biotech firms
Employer & Industry UsageUsed in client-facing roles, project management, strategic planningData analysis, report generation, data management

The main difference is that Senior Bioinformatics Consultants focus on client advisory, project leadership, and strategic solutions, often working across multiple projects and clients. Bioinformatics Analysts primarily handle data analysis, interpretation, and reporting within organizations. Both roles require strong bioinformatics skills, but the consultant role emphasizes communication and project management.

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Senior Bioinformatics Consultant jobs near you
Senior Bioinformatics Data Engineer (Consultant)

Senior Bioinformatics Data Engineer (Consultant)

ProPharma Group

Western Springs, IL • On-site

Full-time

Posted 7 days ago

Job description

For the past 25 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners' most high-profile drug and device programs.
Key Responsibilities
  • Build and maintain Dagster-orchestrated ingestion pipelines for genomics vendors (Caris, Predicine, Tempus, Olink, CellCarta), including IO managers, Iceberg writers, and row-level accounting.
  • Develop and harden dbt Silver-to-Gold transformations: real-data test coverage, store-failures patterns, staging/intermediate/mart models, and macro consolidation.
  • Implement clinical data ingestion paths (SDTM and ADaM), reconciliation logic, and subject-dimension routing.
  • Deliver platform infrastructure: FastAPI endpoints, CI/CD pipelines, containerized deployments, observability instrumentation, and Redshift performance tuning.
  • Extract transformation rules from legacy R and PySpark code and reconcile against new platform implementations.
  • Identify repetitive processes and convert them into automated workflows, guardrails, or reusable tooling.
  • Participate in adversarial design and code reviews, identifying edge cases and pushing back on suboptimal patterns.
  • Collaborate with the lead engineer on design decisions and jointly own delivery velocity through paired working sessions and PR reviews.
  • Ensure all work meets reproducibility standards: CI on every PR, automated tests, no ad-hoc notebook-based production processes.
Minimum Qualifications
  • AI-native engineering practice: demonstrated experience building systems and workflows around AI coding agents (Claude Code, Cursor, Codex, or equivalent) - not just prompting them. You recognize when a repeated process should become an automated pipeline, when agent output needs guardrails, and when to build infrastructure that makes future work faster. Surface-level tool usage is insufficient.
  • Education: Bachelor's or master's degree in computer science, Data Engineering, Bioinformatics, or related field.
  • Experience: 5+ years of professional experience in data engineering with shipped production pipelines on AWS (S3, ECS/Fargate, Redshift or equivalent MPP).
  • Strong proficiency in Python and SQL with working knowledge of modern data engineering libraries.
  • Advanced proficiency with dbt and a workflow orchestration tool (Dagster, Airflow, or Prefect).
  • Data quality instinct: track record of catching silent failures, questioning data correctness assumptions, and noticing lossy joins or incomplete deliveries.
  • Solid understanding of lakehouse architecture patterns, ETL processes, and schema design for complex multi-modal datasets.
  • Ability to handle PHI-adjacent clinical data under Incyte's contractor policy (background check, compliance training, VPN access).
  • Willingness to work within legacy codebases (R, PySpark) to extract business rules and validate new implementations.
  • Excellent communication skills and ability to work in an embedded pair model with tight feedback loops.
Preferred Qualifications
  • Direct experience with Apache Iceberg, AWS Glue Catalog, or lakehouse table formats.
  • Comfort reading genomic data (VAF, HGVS nomenclature, VCFs, CNV/fusion semantics) or demonstrated ability to ramp on unfamiliar scientific domains quickly.
  • Familiarity with clinical data standards including SDTM, ADaM, and CDISC.
  • Pharma, clinical research, or life sciences background.
  • Experience with containerization (Docker/ECS) and infrastructure-as-code (CloudFormation).
  • Proficiency in R for interoperability with bioinformatics teams.

We celebrate our differences and strive to create a workplace where each person can be their authentic self. We are committed to diversity, equity, and inclusion. Employees are encouraged to unleash their innovative, collaborative, and entrepreneurial spirits. With a holistic approach as an Equal Opportunity Employer, we provide a safe space where all employees feel empowered to succeed.
All applications to roles at ProPharma are personally reviewed by a member of our recruitment team. We do not rely on AI screening tools to support our hiring process. You will always receive an outcome to your application so that you have an answer from us - whether you're successful or not.
Whilst ProPharma supports remote working, we also recognise the value that comes from in person collaboration. As such, we encourage any new hires that are based within a reasonably short commute of one of our offices to work on a hybrid basis and spend some time working from that office location, as agreed with your manager. All applications will be treated on their own merit and candidates will not be at any advantage or disadvantage based on their proximity to an office.
***ProPharma Group does not accept unsolicited resumes from recruiters/third parties. Please, no phone calls or emails to anyone regarding this posting.***

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