Bioinformatics Research Associate III - Genom

EpiCypher, Inc.; Durham (NC); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Subsidized Health, Dental, and Vision Insurances

401(k) plan with company match

Company stock options

Paid vacation and sick leave

Company paid holidays plus floating holidays and mental health day

Job summary

EpiCypher, Inc. is hiring a Bioinformatics Research Associate III in Durham, NC. This role involves advanced computational analyses and collaboration with scientists to support customer goals. Candidates should have a strong background in bioinformatics and experience with genomic data, and excellent communication skills.

The position offers generous benefits, including health insurance, 401(k) matching, and competitive salary. The ideal candidate will thrive in a team-focused environment, driving complex projects and maintaining documentation standards.

Qualifications

• Minimum of five years of bioinformatic experience.
• Prior experience in a commercial lab setting is preferred.

Responsibilities

• Lead the application of sequencing analysis pipelines for genomic approaches.
• Design custom analyses and data visualizations for customers.
• Create slide decks summarizing study designs and results.
• Manage multiple bioinformatics workflows in alignment with deadlines.
• Propose new computational approaches and assist in experimental design.

Skills

Next Generation Sequencing data analysis experience

Biological data interpretation

Effective scientific communication

Critical thinking and troubleshooting skills

Adaptability to shifting priorities

Education

BS or MS in Bioinformatics, Computational Biology, Genetics, Molecular Biology

Tools

Linux OS

Python

Job description

Bioinformatics Research Associate III - Genom

Full Time Professional Durham, NC, US

About the Role

The Bioinformatics Research Associate III is a key driver of commercial success, working with a Genomics Research Scientist to perform routine and custom bioinformatics analyses for commissioned Service projects. The Research Associate leads and executes advanced computational analyses through the application of genomics tools, approaches, and expertise to support the customer’s goals and the success of the Services team. The role serves as a technical resource and cross‑team collaborator, contributing to complex projects from analysis design to data delivery.

Key Responsibilities

• Lead the application of short‑read and long‑read sequencing analysis pipelines for our suite of genomic approaches (CUT&RUN, CUT&Tag, Fiber‑seq, etc) used in Services projects, ensuring robustness, reproducibility, and comprehensive documentation
• Design and implement custom analyses and data visualizations to answer the customer’s biological questions of interest, leveraging relevant datasets to support success.
• Create slide decks summarizing the study design, computational approaches, quality control checks, and results for each project.
• Act as the Genomics representative on customer‑facing data delivery calls
• Manage and prioritize multiple bioinformatics workflows in alignment with data delivery deadlines
• Proactively identify analytical needs and technical challenges, develop strategies to resolve them, and communicate progress and outcomes to key stakeholders, including the Genomics Team, Services Project Managers, and senior leadership.
• Independently curate and maintain rigorous documentation of workflows, algorithms, and results, adhering to company standards and ensuring reproducibility and compliance.
• Propose new computational approaches and contribute to experimental design, including hypothesis generation, troubleshooting, and refinement of assay performance.
• Develop hypotheses, troubleshooting strategies, and future opportunities independently, with limited guidance from a Research Scientist.
• Actively participate in team meetings and cross‑functional teams, integrating R&D, Services, commercial, and executive stakeholder feedback to drive project outcomes.
• Stay current with emerging technologies and tools in bioinformatics, incorporating new methodologies where appropriate to maintain a competitive edge.
• Other Research Associate‑related duties and projects as required.
• Prepare effective presentations for lab meetings and external communications, organizing content with goal‑oriented logic flows, providing clear and precise introductions, using graphic illustrations for complex explanations, designing impactful figures, and adapting presentation pace to engage the audience effectively.
• Take the lead in guiding and mentoring new and/or more junior Research Associates in analytical methods, coding best practices, project management, and experimental design.
• Professionally communicate data, insights, and scientific rationale professionally and confidentially, with precision and clarity across written, verbal, and collaborative contexts.
• Model company values through integrity and a high standard of performance and professionalism in daily responsibilities and team interactions.
• Consistently demonstrate reliability through timely execution, proactive communication, and support of team workflows and shared goals.
• Openly accept feedback, respond constructively, and adjust to support continuous improvement.

Credentials and Experience

• BS or MS in Bioinformatics, Computational Biology, Genetics, Molecular Biology, or related field.
• Minimum of five years of bioinformatic experience.
• Prior experience in a commercial lab setting is preferred.

Knowledge and Skills

• Advanced proficiency in Next Generation Sequencing data analysis experience (Linux OS/Python), including bioinformatic tools and techniques
• Strong understanding of biological data interpretation, statistical analysis, and visualization
• Effective scientific communication with wet‑ and dry‑lab scientists
• Adaptable and flexible to shifting priorities
• Ability to work towards specific goals under minimal supervision.
• Ability to gain working knowledge in new fields.
• Ability to consistently meet deadlines in an organized manner.
• Ability to work in a fast‑paced environment.
• Excellent critical thinking and troubleshooting skills.
• Works equally well independently and as part of a team.

Preferred Knowledge and Skills

• Experience with long‑read NGS pipelines
• Experience with building custom visualizations
• Experience with AWS data management and transfer
• Demonstrated ability to independently drive complex projects and collaborate across teams.

Benefits

• Competitive salary commensurate with experience.
• Generous benefits package includes subsidized Health, Dental, and Vision Insurances
• Company‑sponsored Life & AD&D Insurance, Long‑Term Disability, and Short‑Term Disability
• Paid vacation and sick leave
• Company paid holidays, plus 2 floating holidays and 1 mental health day
• 401(k) plan with company match
• Company stock options

Travel Requirements

Up to 5% of the time.

Direct Reports

None

Physical Demands

While performing the duties of the Research Associate position, the employee must be able to remain stationary for prolonged periods and move about within the office and lab. The employee must be able to operate a computer and the necessary lab equipment. The employee must be able to position themselves to move objects weighing up to 10 pounds throughout the workday.

This document does not state or imply that the above duties are the only duties to be performed by the employee in this position. Requirements represent minimum levels of knowledge, skills, and/or abilities and may change at any time, with or without notice. This document does not create an employment contract, implied or otherwise.

Equal Employment Opportunity

EpiCypher is committed to providing a work environment that is free from all forms of harassment, discrimination, and inequality. We provide equal employment opportunities to all employees and applications for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.