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Genetic Annotation Jobs (NOW HIRING)

Arts and Sciences | Molecular Genetics Administration A post doctoral scholar position is available ... This includes developing novel methods to minimize false discoveries in de novo TE annotation ...

You will provide medical and scientific oversight for dataset curation, annotation strategy, and ... genetic information or any other status protected under federal, state, or local applicable laws.

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Genetic Annotation information

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$15

$25

$37

How much do genetic annotation jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for genetic annotation in the United States is $25.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $30.77 per hour, depending on experience, location, and employer.

What is genetic annotation?

Genetic annotation is the process of identifying and labeling the functional elements within a genome, such as genes, regulatory regions, and other important sequences. This involves analyzing DNA sequences to determine the locations of genes and predicting their functions based on various data sources. Genetic annotation is essential for understanding the biological roles of genes and for advancing research in genetics, medicine, and biotechnology.

What are the key skills and qualifications needed to thrive as a genetic annotation specialist?

To excel as a Genetic Annotation Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, often supported by a relevant degree such as genetics or computational biology. Proficiency in genome annotation software, scripting languages (like Python or Perl), and familiarity with databases such as Ensembl or NCBI is essential. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and collaborating with research teams. These competencies ensure the accuracy and reliability of genomic data, which is vital for research and clinical applications.

What are the main challenges faced when collaborating with interdisciplinary teams in genetic annotation roles?

Professionals in genetic annotation often work closely with bioinformaticians, molecular biologists, and software engineers, which can present communication challenges due to differing technical backgrounds and terminologies. A key part of the role involves translating complex genomic data into actionable insights, requiring clear, concise documentation and frequent cross-team meetings. Adapting to evolving data standards and integrating feedback from various specialists is essential for success, and being proactive in clarifying project goals helps ensure smooth collaboration and accurate annotation results.

What is the difference between Genetic Annotation vs Genetic Data Analyst?

AspectGenetic AnnotationGenetic Data Analyst
Required CredentialsBioinformatics or genetics degree, familiarity with genomic databasesStatistics, data analysis, and programming skills, degree in related field
Work EnvironmentResearch labs, biotech companies, academic institutionsHealthcare, research, biotech firms, data-focused environments
Employer & Industry UsageGenomics research, personalized medicine, genome projectsData interpretation, reporting, and visualization of genetic data

Genetic Annotation involves identifying and labeling functional elements within genomic sequences, focusing on understanding gene functions. In contrast, Genetic Data Analysts interpret and visualize genetic data to support research and clinical decisions. While both roles require knowledge of genetics and data skills, annotation is more specialized in genome features, whereas data analysis emphasizes data interpretation and reporting.

What other helpful pages are available for Genetic Annotation?

Other pages related to Genetic Annotation:

Infographic showing various Genetic Annotation job openings in the United States as of September 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $53,852 per year, or $25.9 per hour.

Senior Scientist, Statistical Genetics

Cambridge, MA

Alnylam Pharmaceuticals
Biotechnology Research and Development • 1 - 5K employees

$126K - $189K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Overview The Alnylam Human Genetics (AHG) team is seeking an exceptional statistical geneticist to join our Analytical Genetics group. The successful candidate will apply cutting-edge methods to analyze genetic data from millions of individuals, driving discoveries that directly inform our RNAi therapeutics pipeline. In this role, you will champion methodological innovation and build scalable approaches that unlock insights from some of the world's richest genomic resources, including UK Biobank, All of Us, Our Future Health, FinnGen, Precision Health Research Singapore, the Alliance for Genomic Discovery and Helix.

This is a unique opportunity to translate large-scale human genetics into therapeutic targets and ultimately deliver transformative medicines to patients. This position is onsite and will be primarily located in Cambridge, MA. Key Responsibilities Perform common and rare variant association studies, including large-scale "all-by-all" analyses, using biobank-scale data (e.g., UK Biobank, All of Us, Our Future Health, Alliance for Genomic Discovery, Helix) to identify and prioritize novel targets for RNAi therapeutics

Lead cross-biobank meta-analyses, integrating internal and publicly available summary statistics to maximize power, replication, and trans-ancestry discovery. Implement post-GWAS methods to nominate causal genes and therapeutic hypotheses, including fine-mapping, colocalization, Mendelian randomization, and functional annotation integration. Drive methodological innovation by identifying, evaluating, and deploying emerging approaches (e.g., multi-omics integration, polygenic modeling, rare variant aggregation, AI/ML-enabled prioritization)

Help to establish best practices for data organization, knowledge management, and results dissemination. Enhance external visibility through high-impact publications, conference presentations, and strategic collaborations. Qualifications PhD in Statistical Genetics or a related field with 3+ years of relevant postdoctoral or industry experience.

Title is commensurate with experience. Deep expertise in statistical genetics, including GWAS and RVAS methods (e.g., single-variant testing, burden tests, SKAT), and extensive experience with relevant software (e.g., REGENIE, PLINK). Extensive experience processing and analyzing individual-level, biobank-scale genetic, and phenotypic data, with a track record of making novel discoveries

Proven experience conducting multi-biobank analyses and meta-analyses (e.g., using METAL, RAREMETAL, REMETA), including methods to account for sample overlap. Demonstrated expertise in variant-to-gene post-GWAS approaches (e.g., statistical fine-mapping, colocalization, Mendelian randomization). Experience leveraging multi-ancestry data to make discoveries, for example through studying population-enriched variants and enhancing fine-mapping resolution

Experience applying scalable statistical genetics tools to multivariate phenotype analysis, time-to-event and longitudinal analyses, and genetically diverse datasets to improve signal detection and resolution. Hands-on experience processing and performing quality control (QC) on biobank-scale individual-level genetic data (WGS, WES, imputed data). Expertise in phenotype generation and cross-biobank phenotype curation and harmonization.

Proficiency with Linux environments and advanced hands-on experience in Python and R. Practical experience implementing genomics workflows on cloud-based platforms (e.g., DNAnexus, All of Us Researcher Workbench, Terra). Excellent communication skills, ability to work collaboratively and cross-functionally, and a strong publication record in high-impact scientific journals #LI-JR1 #LI-Onsite U.S

Pay Range $126,400.00 - $189,600.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity)

Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks.

We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: https://www.alnylam.com/careers About Alnylam We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases

Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another.

At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.