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Bioinformatics Programmer Analyst Jobs in Michigan

Perform advanced bioinformatics analyses, including transcriptomic, single-cell, and spatial omics ... clinical and engineering teams to integrate multi-scale biological and computational data.

Bioinformatics Programmer Analyst information

What is a Bioinformatics Programmer Analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

What are some common challenges faced by Bioinformatics Programmer Analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

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Bioinformatics Content Manager

Full-time

Posted 7 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 411 frontline employees who took The Breakroom Quiz

193rd of 527 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

R-01358811 Bioinformatics Content Manager

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe, or helping find cures for cancer.

Discover Impactful Work

You will lead a team of variant scientists within the Clinical Next Generation Sequencing Division, providing scientific, operational, and people leadership to support the development and maintenance of genomic knowledge resources, variant interpretation frameworks, and clinical reporting solutions. In this role, you will oversee the evaluation, analysis, and synthesis of complex clinical and scientific evidence from primary literature, clinical guidelines, and clinical trials to support precision oncology applications. You will be accountable for ensuring the quality, consistency, and scalability of scientific curation and interpretation activities while aligning team priorities with organizational objectives.

As a people leader, you will recruit, develop, mentor, and retain a high-performing team of scientists, fostering a culture of scientific excellence, collaboration, continuous improvement, and accountability. You will partner closely with scientific, technical, clinical, product, and business stakeholders to define resource allocation, establish priorities, and deliver key organizational initiatives.

Success in this role requires deep expertise in cancer genomics and variant interpretation, strong leadership and organizational skills, and the ability to balance scientific rigor with operational execution and compliance in a fast-paced, cross-functional environment.  The mission of this business unit is to develop next-generation sequencing-based solutions to support oncology research and other important unmet medical needs.

Location

This is a fully onsite role based in Ann Arbor, MI and relocation assistance is not provided. 

A Day in the Life

  • Oversee the interpretation, analysis, and summarization of clinical evidence to support somatic and germline variant annotation, classification, and reporting.
  • Define and drive content prioritization strategies while managing team capacity, workload allocation, product initiatives, assay development activities, and operational commitments.
  • Provide subject matter expertise throughout the assay development lifecycle, including requirements definition, evidence strategy, incorporation of clinical evidence and variant interpretation standards, validation support, and product launch activities.
  • Partner with software product owners and engineering teams to optimize and deliver a user-centered scientific user experience of the research and clinical workflows.
  • Collaborate across product, quality, regulatory, and clinical functions to deliver compliant, high-quality research use or regulated products.
  • Lead continuous improvement efforts to strengthen scientific rigor, data quality, operational efficiency, and organizational scalability.
  • Lead and develop a high-performing team of scientists through talent acquisition, performance management, coaching, and career development.
  • Monitor team performance, project progress, key deliverables, risks, and resource utilization, proactively implementing mitigation strategies to ensure successful execution.
  • Collaborate with leadership to develop strategic roadmaps, organizational priorities, and long-term capability plans informed by customer, market, scientific, and industry trends.
  • Foster a culture of accountability, inclusion, innovation, and continuous improvement.

Keys to Success

Education

PhD in cancer biology, cancer genomics, or molecular biology with expertise in solid/heme cancer genomics, tumor biology, signaling pathway, variant interpretation and NGS technologies. Post-doctoral experience is preferred.

Experience

  • 4+ years of relevant experience; industry based experience in genomic variant curation and clinical interpretation for somatic and germline cancers preferred.
  • Demonstrated people management experience is preferred.
  • Proven ability to manage multiple priorities and resources in a dynamic environment.
  • Proven ability to build effective partnerships and influence decision-making across scientific, technical, clinical, and business functions.
  • Experience with regulatory submissions, assay development, or genetic counseling is a plus.

Knowledge, Skills, Abilities

  • Excellent organizational, communication, and stakeholder management skills.
  • Strong leadership, coaching, mentoring, and performance management skills.
  • Experience driving continuous improvement and operational excellence initiatives.
  • Strong strategic thinking, problem-solving, and decision-making skills.
  • Commitment to fostering an inclusive, collaborative, and high-performance team culture.

Other

  • Must be legally authorized to work in the United States without sponsorship now or in the future.
  • Must be able to pass a comprehensive background check and drug screen.

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