Proteomics Specialist

Job Family:

Travel Required:

Clearance Required:

We are seeking a Computational Biologist with strong extensive proteomics experience to join our Bioinformatics team at the NIH. The computational biologist will independently support omics projects specifically proteomics projects as well as others as needed initiated by researchers and clinicians at the National Institute of Allergy and Infectious Diseases (NIAID) in the National Institutes of Health (NIH). This opportunity is a full-time position with Guidehouse and can be remote or on-site at NIH in Rockville MD.

The candidate willoperatein a multi-disciplinary group of scientists who provide support training and consultation services to the research community in the areas of bioinformatics and computational biosciences. The successful candidate for this position will be well-versed in proteomic methodologies including but not limited to traditional to high-throughput technologies self-directed professional who takes ownership of projects and acts autonomously to set priorities and drive results highly collaborative and will provide mentorship and leadership as aproteomics expert. Experience with designing proteomic projects and conducting data analysis using relevant scientific computing software and tools open-source libraries data-intensive workloads and distributed high-performance computing systems is highly desirable. The successful candidate must have excellent written and verbal communication skills to interact with the research community and find the right solution for their diverse scientific analysis and computing needs.

What You Will Do:

• The successful candidate will work cooperatively with current computational biology specialists to:

• Implement design develop and innovate current and emerging computational biology and bioinformatics algorithms toanalyze manage interpret visualize and illustrateoriginal scientific data

• Enter intoscientific collaborationswithphysicians andscientiststhat include the potential for authorships and acknowledgements in publications

• Gatherdetailed requirementsfrom stakeholders andidentifyexisting tools to perform the novel analysesordevelopalgorithms/tools to perform the analysis

• Documentand managecollaborative and consultantassistanceand training provided to researchers

• Provide on-demand support and troubleshooting to researchers in the use of computational biology software

• Research design and delivertraining materialsto effectively communicate promote and advance computational biology techniques and software usage by NIH researchers

• Remain abreast on current and emerging computational biology literature technologies and tools

• Partner with software developers to integrate proteomics software solutions within enterprise platforms

What You Will Need:

Experience/Skills

• FOUR (4) years hands on experience with either Computational Biology or Bioinformatics

• Ph.D. (or other graduate degree with equivalent experience) in computational biology bioinformaticsproteomicsor related life physical or computational sciences with at least twoP1GR2publicationsin high-impact journals demonstratingthe use or development of proteomics methods

• Good understanding of high-throughput proteomic technologies protein-biology molecular biology and proteomics software (e.g. MaxQuant Proteome Discoverer Skyline SpectronautFragPipe Scaffold Quant etc.)

• Demonstratedproficiencyin the analysis of large-scaleproteomicsdata( LC-MS/MS label-free and labeled-based quantitative proteomics TMT iTRAQ post-translational modification Olink Somascan etc.) proteomics file types (mzML MGF pepXML IDML etc.) andexperienced witha broad spectrum ofrelevant open-source software or pipelines (Pyteomics AlphaPeptStats MSstats proteoDA MS-DAP etc.).

• Experience working withrelevantproteomics databasesand browsersand their annotations(UniProt PDB STRING PRIDE Human Protein Atlas and neXtProt)

• Proficiencyin the use of UNIX/Linux and its command-line environment including scripting (Python R shell Perl etc.) as well as experience with code and documentation repositories such as GitHub.

• Proficiency in pathway analysis translating protein lists into biological insights using enrichment tools (GO KEGG IPA) and protein-protein interaction network analysis

• Experiencewith a high-performance parallel computing environment(e.g. SLURM PBS SGE)

• Familiarity with common methods ofstatistical analysis (linear mixed models Bayesian approaches) to identify differentially expressed proteins and biomarkers

• Strong interpersonal presentation written and oral communication skills toconvey computational biology principles and concepts to non-specialists in a clear and precise manner and advise on relevant software and tools with a dedication to customer satisfaction

• Ability to work independently oras part of a multi-disciplinary team

• Excellent troubleshootingand problem-solving skills including the ability to learn new software quickly

• Ability to concurrently work on multiple complex projects with effective time management skillsa high levelof personal and professional drive and initiativeandattention to detail

• Proficiencywith the use of open-source bioinformatics applications employing ontologies pathways and/or networks at both the individual protein and proteomic scales

• Familiarity with problems and bottlenecks associated with storage and management of proteomics-scale data

• Must be able to obtain and maintain a Federal or DoD public trust; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred

What Would Be Nice To Have:

• Experience with one or more other omics analysis pipelines (QC normalization visualization results reporting) and technologies listed below

• Cytometry (traditional spectral mass/CyTOF cytometry flowJo OMIQ Cytobank; relevant R and python libraries such as flowCore CATALYST diffcyt cytofkit FlowSOM FlowIO FlowUtils etc.)

• Single-cell and spatial omics analysis using platforms such as 10x Genomics (GEX Multiome Visium Xenium) Parse Biosciences MERFISH CITE-seq with demonstrated experience in R/Python-based analysis frameworks (Seurat Scanpy etc.)

• Metabolomics/lipidomics (LC-MS GC-MS CE-MS NMR for targeted or untargeted analysis; relevant R and Python libraries such as xcms SpectriPy MetaboAnalystR pyOpenMS Asari pcpfm TidyMS lipidr LipidMS mixOmics Lipydomics LipidFinder etc.)

• Proficiencyin the analysis and integration of multi-omics datasets involving proteomics (e.g. integration with other omics data such as cytometric transcriptomics genomics metabolomics etc.)

• Experience constructing pipelines in open architecture platforms ( nextflow or R targets) including end-to-end tasks for proteomics analysis tools

• Strong background in molecular/cellular biology immunology and/or infectious disease research including bench experience.

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

• 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 Opportunity EmployerProtected Veterans Individuals with Disabilities 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.

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.