Tbwa Chiat/Day Inc
Bioinformatics Scientist New Rockville, MD
Tbwa Chiat/Day Inc, Rockville, Maryland, us, 20849
Axle Informatics
is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).Paid Time Off (Including Holidays)Employee Referral Bonus401K MatchTuition reimbursement and professional development opportunitiesFlexible Spending Accounts:
Healthcare (FSA)Parking Reimbursement Account (PRK)Dependent Care Assistant Program (DCAP)Transportation Reimbursement Account (TRN)
OverviewAxle is looking to add a driven, flexible, organized, and meticulous
Bioinformatics Scientist
to our dynamic team. The Contractor(s) shall provide services in support of the overall functions of the Laboratory of Allergic Diseases (LAD), Division of Intramural Research (DIR).Technical Requirements:Perform bioinformatic support using standard computer software packages for data management including data checking and cleaning of genotype and phenotype data, merging data, creating and recoding variables to prepare data for analyses, analyzing omics (DNA and RNA) data using a variety of standard statistical techniques including classical regression and statistical genetics tools.Generate scripts in R to manage and analyze the data.Provide support using RNASeq and methylation and assist with implementing existing and developing new analysis pipelines.Communicate and assist the Federal Task Leader with the concepts, methodologies, and overall goals, conducts searches to locate the most relevant literature pertinent to the project(s) to keep the knowledge up to date.Analyze results and quality control of experiments to determine data generated is accurate and valid. Compare results with those obtained from previous related studies to verify the validity of data, and able to prioritize tasks and troubleshoot data discrepancies.Discuss the data results with the Federal Task Leader and other team members.Develop methods, analysis, organize and record experimental data in a form suitable for reports and publication and future reference by others.Maintain complete, detailed records of all experiments performed.Provide support and validate and manage transcriptomic datasets; statistically analyze transcriptomic data; and create predictive models for ongoing research projects.Perform analyses using existing laboratory pipelines and summarize the results in a digestible manner and reports and deliver the information using established reporting procedures.Specific Qualifications:Bachelor’s degree and a minimum of two years of work experience in genetic epidemiology or bioinformatics.Proficiency in at least one major statistical analysis software package (e.g. SAS or R).Experience with computational cluster environments.Microsoft Office software required.Programming skills in R required.Excellent organizational, communication, and writing skills required.Candidate must be detail-oriented and able to work independently on assigned tasks.Bioinformatics experience is preferred.Prior experience in genomics analysis and understanding of translational interpretation is preferred.Candidates with expertise or interest in Genetic Epidemiology and/or the specific disease outcomes research are preferred.The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.Accessibility: If you need an accommodation as part of the employment process, please contact: careers@axleinfo.comDisclaimer:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description, or responsibilities as needed.This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.Salary Range:
$85,000 - $103,000 USDApply for this job#J-18808-Ljbffr
is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).Paid Time Off (Including Holidays)Employee Referral Bonus401K MatchTuition reimbursement and professional development opportunitiesFlexible Spending Accounts:
Healthcare (FSA)Parking Reimbursement Account (PRK)Dependent Care Assistant Program (DCAP)Transportation Reimbursement Account (TRN)
OverviewAxle is looking to add a driven, flexible, organized, and meticulous
Bioinformatics Scientist
to our dynamic team. The Contractor(s) shall provide services in support of the overall functions of the Laboratory of Allergic Diseases (LAD), Division of Intramural Research (DIR).Technical Requirements:Perform bioinformatic support using standard computer software packages for data management including data checking and cleaning of genotype and phenotype data, merging data, creating and recoding variables to prepare data for analyses, analyzing omics (DNA and RNA) data using a variety of standard statistical techniques including classical regression and statistical genetics tools.Generate scripts in R to manage and analyze the data.Provide support using RNASeq and methylation and assist with implementing existing and developing new analysis pipelines.Communicate and assist the Federal Task Leader with the concepts, methodologies, and overall goals, conducts searches to locate the most relevant literature pertinent to the project(s) to keep the knowledge up to date.Analyze results and quality control of experiments to determine data generated is accurate and valid. Compare results with those obtained from previous related studies to verify the validity of data, and able to prioritize tasks and troubleshoot data discrepancies.Discuss the data results with the Federal Task Leader and other team members.Develop methods, analysis, organize and record experimental data in a form suitable for reports and publication and future reference by others.Maintain complete, detailed records of all experiments performed.Provide support and validate and manage transcriptomic datasets; statistically analyze transcriptomic data; and create predictive models for ongoing research projects.Perform analyses using existing laboratory pipelines and summarize the results in a digestible manner and reports and deliver the information using established reporting procedures.Specific Qualifications:Bachelor’s degree and a minimum of two years of work experience in genetic epidemiology or bioinformatics.Proficiency in at least one major statistical analysis software package (e.g. SAS or R).Experience with computational cluster environments.Microsoft Office software required.Programming skills in R required.Excellent organizational, communication, and writing skills required.Candidate must be detail-oriented and able to work independently on assigned tasks.Bioinformatics experience is preferred.Prior experience in genomics analysis and understanding of translational interpretation is preferred.Candidates with expertise or interest in Genetic Epidemiology and/or the specific disease outcomes research are preferred.The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.Accessibility: If you need an accommodation as part of the employment process, please contact: careers@axleinfo.comDisclaimer:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description, or responsibilities as needed.This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.Salary Range:
$85,000 - $103,000 USDApply for this job#J-18808-Ljbffr