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Job Family :

Data Science & Analysis (Digital)

Travel Required :

None

Clearance Required :

Ability to Obtain Public Trust

What You Will Do :

We are currently searching for a Scientific Data Engineer. The Predictive Toxicology Branch of the National Institute of Environmental Health Sciences (NIEHS) is seeking an individual to develop methods and software for novel predictive models, including artificial intelligence (AI) and machine learning (ML) applications. This position will work across the Division of Translational Toxicology (DTT) to synthesize toxic informatic, spatiotemporal, dose-response, and systems toxicology data sources. This is a full-time opportunity located in Durham, NC.

• Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data.

• Collaborate with scientists to design, analyze, manage, and interpret all types of data.

• Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and troubleshooting.

• Work with staff on the development and maintenance of bioinformatics tools, scripts, and pipelines for data.

• Collaborate with biologists, statisticians and/or other bioinformaticians in the design of models summarizing/explaining experimental data.

• Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.

• Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.

• Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.

• Prepare scientific reports and progress reports; assemble data to prepare tables, graphs, and slides; conduct scientific and program related information searches and report results.

• Develop and optimize programs and scripts that facilitate organization, integration, and data mining of large data sets; integrate these models into a framework of best practices.

• Identify new tools and resources for reaching biologically meaningful conclusions.

• Provide training in and technical support (including product updates and version control) for programs, algorithms, archives, and pipelines generated during this work.

• Work with an interdisciplinary team to apply computational data analysis approaches to make biological discoveries.

• Attend group meetings; present findings; author publications resulting from projects.

• Present analysis results at research conferences and meetings.

#SOAR

What You Will Need :

• Master’s degree in Information Sciences, Computer Programming, Data Processing, Mathematics, Bioinformatics, or similar disciplines.

• A minimum of FOUR (4) years of experience in Bioinformatics, Data Science, and/or Machine Learning.

• Experience working with large data sets, Data Harmonization, Data Cleaning, Data Analysis, and Data Quality Control.

• Experience in Pipeline development and/or Algorithm development

• Proficient in Statistical Modeling

• Experience in Clinical and/or translational research

• Experience and proficiency in Linux, Java, CSS, JavaScript, ArcGIS, PHP, R, Bash, GitHub, and/or Python

What Would Be Nice To Have :

• Previous NIH experience preferred.

• PhD in Information Sciences, Computer Programming, Data Processing, Mathematics, Bioinformatics, or similar disciplines preferred.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term & Long-Term Disability

• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Care.com annual membership

• Employee Assistance Program

• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.