Bioinformatics Scientist

(ID: 2026-2420)

Axle 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 nationally and abroad. 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).

Axle is seeking a Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Research Triangle Park, NC.

Benefits We Offer:

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts:
  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

Position Information:

This position independently provides bioinformatics and data science support to advance the institute’s operational and research objectives. The role requires
expertise in statistical genomics, machine learning, and scalable analysis and integration of high-dimensional omics data, applying AI-driven methods to generate biologically meaningful insights.

Additional Qualifications:

Certifications & Licenses

• Three years of experience - Ph.D. in Bioinformatics, Biostatistics, Computational Biology or a biological/life science

• Ph.D. preferred (or Master's) in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative field.

• Demonstrated training or experience in machine learning, artificial intelligence, or advanced statistical modeling applied to high-dimensional biological data.

Field of Study

• Mathematics and Computer Science

• Biology

• Environmental
  Science

• Genetics

• Molecular Biology

Software

• R

• Python

• MATLAB

• Linux

• Unix

• Java

• Shell

• PERL

• Bash

• SAS

• Bash / Linux / HPC

• Git

• Docker / Singularity / Apptainer

• Workflow management

Skills

• Next gen sequencing data analysis: Bulk RNA-Sequencing

• Next gen sequencing data analysis

• Genome-wide association studies

• Single Cell RNA-Sequencing

• Work with large data sets

• Microarray data analysis

• Pipeline development

• Multi-omics Analysis

• Machine Learning

• Core facility

• Cloud platforms

• Reproducible research practices

• Data visualization

• Representation learning for omics data

• Machine learning and Deep learning

• Multi-omics integration using deep learning

Deliverables:

• Develop work products and documentation related to applying advanced computational and data analysis approaches to generate biological insights.

• Independently design analytical strategies; identify and resolve scientific or technical challenges; design studies; analyze and interpret high-throughput biological data; and prepare and present results. - Ad-Hoc

• Develop work products and documentation supporting integrative analysis of internally generated datasets.

• Contribute to manuscript preparation by drafting data analysis sections, creating publication-quality figures, and facilitating data submission to appropriate external repositories. - Ad-Hoc

• Develop and maintain custom analytical software, scripts, and computational pipelines.

• Evaluate and implement commercial and open-source tools as appropriate; lead pipeline design and development efforts; establish reproducible workflows and standard operating procedures (SOPs); and provide comprehensive methodological documentation. - Ad-Hoc

• Develop and optimize analytical pipelines for multi omics data.

• Identify, evaluate, and implement appropriate computational methods for preprocessing, quality control, integration, clustering, differential expression, and downstream analysis of single-cell datasets. - Ad-Hoc

• Provide ad-hoc training sessions and hands-on workshops on bioinformatics tools and analytical methodologies.

• Participate in group meetings; present analytical findings; and maintain current knowledge of emerging technologies and advances in biology, statistics, computer science, and bioinformatics. - Ad-Hoc

Statement of Work Details:

• Collaborate with scientists to design, analyze, manage and interpret all types of data. - 1
• Work with an interdisciplinary team to apply computational data analysis approaches to make biological discoveries. - 2
• Conduct analyses on NextGen sequencing data including data derived in ChIP-Seq,RNA-Seq, miRNA-Seq and other experimental models. - 3
• Conduct analysis and interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types. - 4
• Work independently with research groups to develop, implement, and refine analytical pipeline for high throughput genomics, transcriptomic, epigenetic, proteomics, digital spatial and other omics data. - 5

• Provides programming and troubleshooting support to the Federal Government in the dissemination of research 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.

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

• Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects.

• Install, troubleshoot and run open-source and commercial scientific software on platforms.

• Performs computations on research data analysis.

• Perform computational analysis of, and interpret results.

• Provide reports based on analysis of scientific data.

• Perform sequencing and alignment of raw data, and interpret new data using larger public access datasets.

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

• Write custom programs and algorithms to support data analyses and discovery.

• Apply machine learning approach to analyze and integrate large-scale, complex multi-omic data to identify biological insights.

• Works with staff on scientific programming and experimental design.

• Design and execute computational experiments.

• 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 to develop specifications for new analysis; design, test and implement solutions.

• Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid conclusions.

• Records observations and report results at weekly laboratory meetings.

• Maintain proper and detailed documentation of the analysis performed and report results at lab meetings.

• Attend scientific and programming meetings; take and compile comprehensive notes; organize and edit content of meeting reports.

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

• Organize daily laboratory notebook on experiments; prepare weekly updates on on-going experiments and tasks; provide monthly progress notes on assigned projects; submit final progress reports and future directions on projects.

• Organize laboratory notebook or computer database to record results of calculations.

• Share results at lab meetings.

• Provides statistical support / analysis on research data.

• Devise novel methods of statistical analysis for collected data.

• Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data.

• Perform data processing and data analysis with existing computational and statistical methods.

• Assist in evaluating and interpreting results for validity and scientific meaning.

• Establish and maintain reproducible data analysis pipelines and standardized operating procedures (SOPs); develop comprehensive documentation to ensure methodologies are transparent, reproducible, and readily applicable to related studies.

• Develop and implement robust analytical strategies for the integration of multi-omic datasets generated internally, as well as relevant
  publicly available datasets, to enable comprehensive and biologically meaningful interpretation.

• Provides research / service goals in the context of the laboratory's overall mission.

• Create novel programs and algorithms that facilitate discovery of knowledge in investigating large and complex data.

• 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.

• Participate in the design of new protocols involving computational methods.

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

• Participate in research design with investigators for determining best practices pertaining to the bioinformatics analysis in new and ongoing projects.

• Visualize and interpret data to create reports and presentations for scientific audiences.

• Evaluates new types of experimental approaches to protocols based on knowledge of scientific literature, available facilities and research needs.

• Research and review literature to retrieve targeted clinical or scientific information, including novel statistical methods, from publicly available resources.

• Collaborate with staff to review current and historical procedures for the acquisition, quality control and management of data.

• Analyze and evaluate data cleaning and harmonization needs in the using a variety of descriptive statistics and analytic methods.

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

• Collaborate with experimentalists and computational biologists to develop new computational tools to answer research questions of interest.

• Independently coordinates the training of personnel in the use of scientific software applications, statistical software applications
  and programmatic software applications.

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

• Instruct staff in computational analysis of data.

• Provide ad hoc trainings and hands-on workshops on the use of bioinformatics tools.

• Provide training of students, new investigators, and other laboratory personnel in the use of techniques, procedures and equipment to complete the objectives of the laboratory.

• Onboard and train staff involved in new clinical trials, including the import of a wide variety of legacy data set; provide rigorous quality control of these data.

• Initiates interdisciplinary collaborations with other research centers.

• Collaborate with group members in experiments associated with data collection.

• Interact with all levels of staff and communicate with outside collaborators in the US and abroad.

• Work with staff, collaborate with outside researchers, and contribute to positive overall teamwork; teach Bioinformatics principles and
  methodologies.

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

• Deliver at least one presentation per year to audiences outside the Government.

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

• Present analysis results at research conferences and meetings.

• Present new research data in group settings, at meetings or seminars.

• Conduct data analysis and interpretation on other large data types in genomic context.

• Establish and maintain workflows including experimental design, analyses of data quality, genome and meta-genome integration and
  others.

• Write utility scripts, macros and/or custom programs or algorithms in support of biological discovery.

• Coordinate with biologists and/or other bioinformaticians in the design of models summarizing and explaining experimental data;
  provide interpretive analyses of data derived from different experimental platforms to generate biological meaning.

• Prepare reports and publication quality graphics summarizing experimental data including providing written documents.

• Participate in meetings with biologists; present findings to individuals and groups.
  

Disclaimer: 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.

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: [email protected]

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 USD - $90,000 USD