Senior Clinical Bioinformatician, Molecular Medical Genetics Lab, Winston Campus

American Addiction Centers•Winston-Salem, NC

6d•$44 - $66•Onsite

About The Position

This role is for a Senior Clinical Bioinformatician in the Molecular Medical Genetics Lab at Wake Forest Baptist Medical Center. The position is full-time, 40 hours per week, Monday through Friday, 8 AM to 5 PM, with the possibility of occasional extra hours. The Senior Clinical Bioinformatician will lead project management, conduct audits of bioinformatics processes, implement and manage bioinformatics methodologies and pipelines for somatic and germline targeted genes sequencing, and analyze and interpret NGS data for clinical applications. This includes designing, developing, and optimizing pipelines for variant calling, CNV detection, structural variant analysis, and gene expression profiling. The role involves close collaboration with clinical staff, pathologists, directors, and researchers to translate bioinformatics analyses into actionable clinical insights, and communicating complex concepts to non-technical stakeholders. The position also focuses on assessing data analysis workflows for automation opportunities, ensuring compliance with clinical laboratory regulations (CLIA, CAP, etc.), leading validation and verification of bioinformatic systems, and developing policies and practices. Oversight of CAP bioinformatics surveys and ensuring compliance with inspections, as well as monitoring regulatory changes and updating policies are key responsibilities. The role also ensures the implementation of effective quality assurance and quality control programs.

Requirements

Ph.D. in Bioinformatics, Statistics, Computer Science, data science or a related field and 3+ years of bioinformatics experience, OR Master’s degree with 5+ years of experience, OR Bachelor’s degree with 8+ years of experience.
Experience with Linux-based or cloud computing environments.
Proficiency in Python, R for developing somatic and germline analysis pipelines, with experience managing the codebase using Git.
Proven experience in NGS data analysis, variant detection, and annotation.
Familiar with the basic of genomics, genetics or molecular and cell biology.
Proficiency in Python, R, Bash, or similar programming/scripting languages.
Ability to write custom code for constructing analysis pipelines and manipulating sequence data.
Demonstrated organizational ability, attention to detail, and accuracy.
Effective written and verbal communication skills and ability to build rapport and relate to all people.
Ability to work in a fast-paced environment and to handle multiple tasks simultaneously.
Excel with working independently, troubleshooting problems, and providing solutions.
Ability to speak effectively and present material to be understood by a diverse group of individuals.
Maintains patient confidentiality in and out of the workplace.

Nice To Haves

Experience with high-performance computing (HPC) and cloud platforms is preferred.
Familiarity with cancer genomics, liquid biopsy, or hereditary disease testing preferred.
Experience with machine learning applications in bioinformatics preferred.

Responsibilities

Lead project management efforts, ensuring timely completion of goals and projects in alignment with strategic plans, and identify necessary resources for successful delivery.
Conduct regular audits of bioinformatics processes to identify areas for improvement and ensure compliance with best practices and regulatory requirements.
Implement and manage bioinformatics methodologies and pipelines for somatic and germline targeted genes sequencing, exhibiting good code and development practice.
Analyze and interpret NGS data from various sequencing platforms (e.g., Illumina, Ion Torrent) for clinical applications such as hereditary disease diagnostics, cancer genomics, and solid tumor mutation detection.
Hands-on design, develop, and optimize bioinformatics pipelines for tasks like variant calling, copy number variation (CNV) detection, structural variant analysis, and gene expression profiling.
Work closely with clinical laboratory staff, pathologists, directors, and researchers to translate bioinformatics analyses into actionable clinical insights.
Communicate complex bioinformatics concepts and results to non-technical stakeholders in a clear and effective manner.
Assess data analysis workflows to identify opportunities for automation of analysis, reporting, and quality control (QC). Implement improvements in collaboration with laboratory leadership.
Ensure all bioinformatics workflows and analyses comply with clinical laboratory regulations and standards (e.g., CLIA, CAP).
Lead the validation and verification of bioinformatic systems, including modifications, upgrades, and other changes; develop and maintain documentation for bioinformatics processes.
Develop and implement bioinformatics policies and practices that adhere to CLIA, CAP, CDC, OSHA, AABB, and FDA guidelines.
Oversee CAP bioinformatics surveys and ensure compliance with CAP inspections.
Monitor regulatory changes and update policies accordingly.
Ensure the implementation of effective quality assurance and quality control programs, integrating with related committees and processes to maintain high standards.

Benefits

Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training
Premium pay such as shift, on call, and more based on a teammate's job
Incentive pay for select positions
Opportunity for annual increases based on performance
Paid Time Off programs
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits such as adoption assistance and paid parental leave
Defined contribution retirement plans with employer match and other financial wellness programs
Educational Assistance Program