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Bioinformatics Scientist
Bioinformatics ScientistCCRM Fertility • Lone Tree, CO, US
Bioinformatics Scientist

Bioinformatics Scientist

CCRM Fertility • Lone Tree, CO, US
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Come join CCRM Fertility, a global pioneer in fertility treatment, research, science, specializing in IVF, fertility testing, egg freezing, preimplantation genetic testing, third party reproduction and egg donation. As a member of CCRM Fertility’s diverse team of professionals, you will be a part of helping families grow and changing lives. We take pride in providing our employees with meaningful employment, a supportive culture, and a well-balanced personal & work life alignment. For more information, visit

Location Address :   Remote

Department :   Research

Work Schedule :   Monday – Friday (8 : 00am – 4 : 30pm)

What We Offer Our Team Members :

  • Generous Paid time-off (PTO) and paid holidays
  • Medical, Dental, and Vision Insurance
  • Health benefits eligible the first day of the month following your start date.
  • 401(k) Plan with Company Match (first of the month following 2 months of service)
  • Basic & Supplement Life Insurance
  • Employee Assistance Program (EAP)
  • Short-Term Disability
  • Flexible spending including Dependent Care and Commuter benefits.
  • Health Savings Account
  • CCRM Paid Family Medical Leave (eligible after 1 year)
  • Supplemental Options (Critical Illness, Hospital Indemnity, Accident)
  • Professional Development, Job Training, and Cross Training Opportunities
  • Bonus Potential

How You Will Make an Impact : We are seeking a talented and motivated Bioinformatics Scientist to join our dynamic CCRM Genetics team. This remote full-time role combines expertise in genomics, computational biology, and data science to analyze sequencing and omics data in support of patient care and ongoing R&D. This is an independent role under the direction of the Bioinformatics Supervisor and reports to the Scientific and Genetics Director. This role requires experience with processing and analyzing NGS and omics data, familiarity with standard statistical analysis procedures, and proficiency in at least one statistical programming language (preferably R).

What You Will Do :  The role will involve the coding and implementation of pipelines, data management, statistical analysis, data visualization and communication, method exploration, and omics data interpretation. The ideal candidate is detail-oriented, organized, and adaptable, with strong technical, analytical, and communication skills. This position is ideal for a candidate interested in bridging the gap between scientific research and real clinical impact.

  • Conduct research in the area of oocyte and embryo physiology and metabolism, including in vitro embryo production and analysis of molecular pathways.
  • Record and statistically analyze scientific data.
  • Interpretation of experimental results and participate in preparing meeting abstracts, manuscript, and research proposals.
  • Proficiency in R, shell scripting, and UNIX-based command line tools.
  • Develop and implement reproducible bioinformatics pipelines (e.g. bulk / single-cell RNA-seq and ATAC-seq, WGS / WES) using standard tools and databases.
  • Process sequencing data using cloud-based high-performance computing.
  • Apply statistical and pathway analysis to interpret complex biological information for utilization by other scientists.
  • Solid understanding of molecular biology, genetic inheritance, genomic copy number, and polygenic risk.
  • Manage, clean, and maintain accurate datasets and records, including data cleaning and report writing.
  • Create clear visualizations and reports to support scientific and clinical teams.
  • Strong technical, communication, and troubleshooting techniques.
  • Collaborate effectively with colleagues across scientific and clinical disciplines.
  • Other duties as assigned.
  • What You Bring :

  • Recent graduate with a PhD in Bioinformatics, Genetics, Computational Biology, or related field and 1-2 years’ experience.
  • Demonstrated ability to work independently and as part of a team.

    Experience with Docker, NextFlow / CWL, and RShiny.

    Experience with multigenic risk factors and multiple omics data types.

    Previous medical research experience

    Must be organized with a strong ability to multi-task, prioritize, have strong attention to detail, and a strong ability to utilize time efficiently.

    Must consistently display a positive attitude and flexibility in changing situations.

    Must have excellent communication skills and make it a priority to consistently communicate positively and professionally with all staff members, physicians and patients.

    Must demonstrate the ability to be a good team player and possess a willingness to perform duties that are assigned or delegated in a timely manner.

    Participate in identifying problems and suggesting solutions.

    Maintain confidentiality of all work information.

    Maintain strict confidentiality for all patient and clinic information, consistent with established security and confidentiality policies and HIPAA regulations at all times.

    Working Conditions : The physical demands described here are representative of those which should be met, with or without reasonable accommodation (IAW ADA Guidelines), by an employee to successfully perform the essential functions of this job. This job operates in a professional office, clinical and / or laboratory setting. This role routinely uses standard office equipment such as computers, including computer keyboards and mice; telephones; photocopiers; scanners; filing cabinets. While performing the duties of this job, the employee will interact with others and ensure compliance with medical regulations, ethical guidelines, and organizational policies to maintain the highest standards of care and patient and staff safety.  CCRM’s Compensation : The salary range represents the national average compensation for this position. The base salary offered will vary based on location, experience, skills, and knowledge. The pay range does not reflect the total compensation package. Our rewards may include an annual bonus, flexible work arrangements, and many other region-specific benefits. Pre-Employment Requirements : All offers of employment are conditional upon the successful completion of the CCRM Fertility onboarding process, including verification of eligibility and authorization to work in the United States. This employer participates in the E-Verify Program in order to verify the identity and work authorization of all newly hired employees. Equal Employment / Anti-Discrimination :   We are an equal-opportunity employer. In all aspects of employment, including the decision to hire, promote, discipline, or discharge, the choice will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

    This is a Monday through Friday position, working 8am-4 : 30pm.

    This is a full time, benefitted position, working 40hrs / week.

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    Scientist • Lone Tree, CO, US

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