Bioinformatics Jobs

Kelly Government Solutions is a strategic supplier and business partner to the federal government and its key suppliers. The National Institutes of Health is seeking a Bioinformatics Scientist. This is a long-term, full-time, contract position based in Baltimore, MD. This position offers a competitive benefits package. This is a long-term contract position which offers: - Competitive compensation and comprehensive benefit package - Optional health, vision, and dental plans - Paid leave, paid federal holidays, and 401K plan. - Access to NIH’s unparalleled resources and niche scientific initiatives PRIMARY RESPONSIBILITIES: Provide large-scale genome-wide DNA and protein sequence analysis Assist with development and maintenance of Oracle database for genomics and proteomics projectsProvide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data Assist with integration of laboratory-generated data with public and controlled-access datasets for downstream analysis and interpretation. Performs computations on research data analysis. Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiologic research. Provide computational support for members of the Laboratory. REQUIREMENTS: MS in Genetics, Statistics, or related discipline is requiredMinimum 2 years of experience conducting genomics and proteomics analysis is required

Position: Bioinformatics Data Scientist Duties: Design and implement bioinformatics workflows and software tools to support genomics and biomedical research. Develop and maintain Laboratory Information Management Systems (LIMS) to automate the capture, processing, and reporting of sequencing data. Build scalable data pipelines for genomic, transcriptomic, and multi-omic data analysis. Apply statistical and machine learning methods to high-throughput sequencing datasets. Create dashboards and visualization tools for research data interpretation and reporting. Ensure data integrity, reproducibility, and compliance with research and regulatory standards. Requirements: Master’s degree in Bioinformatics, Computer Science, or a related field, and two years of experience in a diagnostic lab or clinical research environment developing and supporting LIMS. Must have experience with Python (Flask/Jinja2 and CGI framework), R, SQL, AWS, statistical data analysis, Shell scripting, and Linux in a production environment. Please send resume and cover letter to JobApplications@JunoGenetics.com Pay: From $97,000.00 per year Benefits: 401(k) matching AD&D insurance Dental insurance Health insurance Life insurance Paid time off Vision insurance Work Location: In person

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks a computational associate to join in efforts to develop and apply cutting-edge genomic technologies to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. Projects include 1) identifying sequence features that influence the formation of genomic rearrangements based on data from thousands of tumors and matched normal samples, 2) applying sophisticated statistical approaches to determine relationships between the presense of specific rearrangements and genetic/pharmacologic vulnerabilities in cancer cell lines, and 3) developing new analysis methods for a novel experimental technique developed in our laboratory to identify subclonal rearrangements in tumor samples. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who will lead their projects, thinking independently and making original intellectual contributions. We welcome all levels of input from our computational associates, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. Computational associates in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view a computational associate as a mentored training position, with a primary goal being the professional development of our CAs. Prior CAs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry.Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Interprets complex biological informationPerforms tasks to reduce and consolidate output from softwarePrepares data for utilization by other scientistsMonitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteriaMust be able to query various sources for the information needed; i.e., the Web, publications and internal DFCI resourcesDirects and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting dataImplements end-users’ needs in database searching and integrationMaintains the computational infrastructure and controls the flow of samples and information for large-scale studiesRecognizes and reports problems with the data management process and fixes the problems whenever possibleKNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Familiarity with simple programming using Perl/Python or Java, C/C++, statistical programming using R or related tools, web-development, and database query through SQLFamiliarity with principles of experimental design and modern data analysis paradigms is requiredStrong interpersonal skills – ability to effectively interact with all levels of staff and external contactsExcellent analytical, organizational and time management skillsMINIMUM JOB QUALIFICATIONS: The position requires a bachelor's degree, with an MS preferred or a PhD in bioinformatics, computer science, or life sciences. Candidates should have 0-2 years of relevant experience and be able to perform primary duties under close to moderate supervision. SUPERVISORY RESPONSIBILITIES: In most cases, these positions would not have supervisory responsibilities. Level III may or may not provide workflow direction to subordinates and serve as a mentor to junior staff. PATIENT CONTACT: None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster.Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $58,400.00 - $80,400.00

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Bioinformatician Type: Contract Compensation: $60–$85/hour Duration: 2-week engagement Role Responsibilities Review representative problems from your assigned problem class to understand the data shape and expected output. Specify a complete toolkit including Python/R packages and system tools, each with a brief rationale. Validate the final toolkit to ensure it solves specific classes of computational biology problems. Shape how frontier models approach real scientific problems through your tool selections. Work independently and collaboratively to meet project deadlines. Qualifications Must-Have PhD or Master's degree in bioinformatics, computational biology, genomics, or a closely related field. Hands-on experience with at least 3 of the following: protein structure analysis, variant effect prediction, RNA-seq/expression analysis, ChIP-seq/epigenomics, single-cell analysis, CRISPR screen analysis, molecular docking, or cheminformatics. Deep familiarity with the standard tool ecosystem for your subdomain (e.g., Rosetta, FoldX, DESeq2, MAGeCK, AutoDock Vina, HOMER, scanpy). Proficiency in Python and/or R for bioinformatics workflows. Familiarity with command-line bioinformatics tools (e.g., samtools, BEDTools, BLAST). Interview Process Short screening questionnaire to assess subdomain expertise and tool familiarity. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Organization Overview The Bioinformatics Resource Center (BRC) provides bioinformatics analysis, experimental design consultation, software infrastructure, and training to the scientific community at The Rockefeller University. With a specific expertise in the processing and analysis of high-throughput genomic sequencing data, and in collaboration with both wet and dry lab biologists, the BRC aims to support and accelerate the diverse and cutting-edge research conducted at the university through the creation of analytical pipelines; the analysis of biological data via direct collaborations; and the training of Rockefeller's faculty, students, and scientific staff. Overview The purpose of this position is to design, implement, and deploy applied AI/ML methods for genomics and multi-omics data within the Bioinformatics Resource Center (BRC). These efforts translate institutional AI strategy into robust, reproducible analytical pipelines that directly support research across Rockefeller University laboratories, implemented within existing BRC infrastructure and standards. Responsibilities Responsibilities include: Design, implement, and maintain AI/ML pipelines for genomics and multi-omics data (RNA-seq, ATAC-seq, ChIP-seq, functional genomics)Apply and adapt machine learning and deep learning models (e.g., convolutional and transformer-based architectures) to biological questions in collaboration with investigators.Develop interpretable models and attribution analyses (e.g., motif discovery, perturbation and variant-effect analyses) to support biological insight.Build, document, and containerize reproducible workflows suitable for shared HPC/GPU environments.Provide consultative support and training to researchers using BRC AI/ML tools and pipelines.Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED QUALIFICATIONS: Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related fieldA minimum of five years of relevant experience applying computational or machine learning methods to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related fieldExperience applying deep learning or foundation-model approaches to sequence-based or multimodal genomics data.Experience in a core facility or highly collaborative research environment.Familiarity with model interpretability for biological insight (motif analysis, attribution methods, TF/RBP modeling).Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments.Track record of contributing to peer-reviewed publications as a computational specialist.Interest in mentoring and training researchers in applied AI/ML methods. The Rockefeller University is an equal opportunity employer – veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $90,000.00/Yr. Compensation Range: Max USD $115,000.00/Yr.

We're hiring Bioinformatics Scientists with strong backgrounds in computational biology and data science. A deep understanding of both biology and machine learning is required. The position's goals are varied, but include using personalized biomarker discovery and integrative-omics to diagnose "hard-to-diagnose" diseases. In this position at ICR, you'll get to: Conduct complex bioinformatics analyses on large genomics, transcriptomic, proteomic, metabolomic, and lipidomic datasets from biofluids and cell linesEngage in multi-omic integration under a personalized medicine paradigmDiscover personalized biomarkers to aid in unraveling complex and obscure phenotypes Please apply if you have: An MS or PhD in a Biomedical Science and extensive experience with computational biology, bioinformatics and data scienceExperience incorporating AI tools into bioinformatics workflowsExpertise in multi-omics integration, systems biology, network medicine, precision and personalized medicineExpertise in perturbation analysis and pathway enrichment analysis (eg. KEGG, Reactome, MSigDB)Machine learning skills (eg. LR, SVM, RF, XGBoost) and extensive experience with: Bayesian/probabilistic modeling, network-based sample similarity algorithms and factorization methods, data cleaning, such as batch effect removal and imputation, and data transformation and visualizationA solid statistical foundationExpertise programming machine learning and statistical pipelines, preferably in PythonGitHub repository showing your work, preferably linked to publicationsEven if you don't meet all of these criteria, please apply anyway Ideally, you'll also have experience with: iOS app developmentR programmingLinux environmentsOutlier detection And you'll need: Ability to work in the United States without sponsorshipA can-do attitude and a friendly, easygoing personality If you don't combine your cover letter with your CV or resume when you apply through LinkedIn, after you apply please send your cover letter only to: apply@invitroresearch.com with "Cover [Your name]" as the Subject line. Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base salary range: $155,000/yr - $230,000/yr Starting bonus range: $10,000/yr - $40,000/yr

About Us We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI. The Role You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery. What You'll Do Perform bioinformatics analysis and provide drug development expertise for assigned work.Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts. What We're Looking For PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)3+ years of bioinformatics research experience Offer Details Commitment: 15–30 hours/week (with overlap in PST)Compensation: Highly competitive, top 10% of industry ratesEngagement: Contractor/freelancer (no medical or paid leave)Duration: 1 month, with possible extensionRemote: Fully remote, collaborative environment

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. This position is funded for 3 year(s); continuation past 3 year(s) will be based on university need, performance, and/or availability of funding. POSITION SPECIFICS The U.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) and the Institute for Computational and Data Sciences (ICDS) at Penn State seeks an outstanding scientist to fill a Bioinformatics Staff Scientist (Research Data Scientist - Intermediate Professional) position dedicated to advancing the collaborative research of the Center's Working Groups. NCEMS is an interdisciplinary research Center positioned at the interface of data science with molecular and cellular biology. The Center provides leadership in the integration of diverse, publicly available datasets, enabling cross-disciplinary teams of scientists to synthesize knowledge and pursue fundamental questions at the forefront of the life sciences. About the Position: Bioinformatics Staff Scientists play a supporting role in enabling the research efforts of multidisciplinary scientific teams supported by NCEMS, typically contributing to 2-3 projects simultaneously. Work Arrangement: This position has the potential to be a hybrid of remote and on-site work, with a minimum requirement of 3 days per week on-site at the Penn State University Park campus. This position does not permit fully remote work. Responsibilities: Collaborate with NCEMS Working Groups to design and implement computational methods for integrating, analyzing, and visualizing complex molecular and cellular biology dataLead data wrangling, harmonization, standardization, and quality control of existing biological datasets, with emphasis on next-generation sequencing data.Develop and apply end-to-end data processing workflows from raw data across modern experimental modalities (including, for example, RNA-seq, scRNA-seq, ChIP-seq, DNA-seq, ATAC-seq, and Hi-C).Advise on the selection, development, and application of bioinformatics tools and pipelines (e.g., alignment, expression analysis, variant calling) using open and reproducible science best practices.Support the publication of intermediate data products, code, and documentation.Stay up-to-date with the latest advancements in bioinformatics, computational biology, and available biological datasets. Education and Experience: M.S. or PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred.Strong proficiency in Python and/or R for data analysis, scripting, and statistical modeling.Demonstrated experience processing raw next-generation sequencing data and developing end-to-end, reproducible analysis workflows.Experience working with complex molecular and cellular datasets, such as genomic, transcriptomic, epigenomic, proteomic, metabolomic/lipidomic, and single-cell or multi-omics data.Solid understanding of genetic principles, molecular biology techniques, and genomic databases.Experience developing new bioinformatics tools as dictated by research needs.Publications in peer-reviewed journals demonstrating contributions to the field.Experience supporting/contributing to multi-PI projects. Candidates must also demonstrate a commitment to ethical conduct and research integrity, strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a team environment. Application materials: Required documents include the following: A current Curriculum Vitae (CV) or ResumeA cover letter detailing the candidate's interest in the role Benefits: Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. For more detailed information, please visit our Benefits Page. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Bachelor's Degree1+ years of relevant experience; or an equivalent combination of education and experience acceptedRequired Certifications:None BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies. Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S. SALARY & BENEFITS The salary range for this position, including all possible grades, is $61,800.00 - $89,600.00. Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473. Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines

Novartis is seeking a Senior Bioinformatics Scientist in Data and Statistical Sciences, a subteam within the Scientific Office (SO) in Cell and Gene Therapy (CGT) Technical Research and Development (TRD). The bioinformatics lead will be working in a highly collaborative environment, the successful candidate will build and develop bioinformatics pipelines to support advancing cell and gene therapy drug development. He/she is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.LI# HybridInternal Job Title: Senior Expert BioinformaticsLocation: East Hanover, NJ, Cambridge, MA or Durham, NCThis position will be located at the East Hanover, NJ, Durham NC, or Cambridge, MA site and will not have the ability to be located remotely.Responsibilities:Work as a lead bioinformatics scientist, both independently and as a member of cross-functional teams, to develop bioinformatics pipelines for cell and gene therapy products to enable deep understanding of the product, including (but not limited to) genome integrity, impurities, integration, and oncogenicity. Support next generation sequencing (NGS) method development and validation following ICH guidance.Support ad hoc NGS analysis with scientific judgement for product characteristicsSupport validation of developed bioinformatics pipelines to meet GMP testing requirements. Support responses to questions from the FDA and EMA in support of IND, BLA, and post-authorization commitments for cell and gene therapy products. Follow Novartis quality guidance to ensure the integrity and traceability of pipeline development and validationSupport bioinformatics pipeline transfer, installation, testing, and maintenance in non-GMP and GMP environments. Work with IT and engineering teams on data flow and automation of NGS data analysisProduce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Support the wider R&D team with general bioinformatics needs.Essential Requirements:PhD or equivalent in bioinformatics, computational biology, biostatistics, physics, engineering, mathematics, molecular biology, virology or related discipline.3 years of relevant industry work experience is strongly preferred, but related experience in academic settings will be considered.Work with IT and engineering teams on data flow and automation of NGS data analysis.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.Strong problem-solving skill, adaptive, curious, and willing and able to learn new technologies and skills, applying this learning to the cell and gene therapy field.Knowledgeable in applying AI to software and bioinformatics pipeline development is a plus.Strong oral and written communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Desired Requirements:Knowledgeable in applying AI to software and bioinformatics pipeline development is desiredExperience in cell and gene therapy drug development, or related fields dealing with virus-cell interactions, is desired.Experience in single cell sequencing is desired.The salary for this position is expected to range is $132,300-$245,700The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.To learn more about the culture, rewards and benefits we offer our people click here.

Job Family: Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do: We are searching for a Bioinformatics Scientist to provide support services to satisfy the overall objectives of the National Institute of Aging. This is a full-time opportunity located in Baltimore, MD. Provide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data. Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiological research. Process raw data, including quality control, alignment, quantification, normalization, and generation of analysis-ready datasets. Provide large-scale genome-wide DNA and protein sequence analysis. Assist with development and maintenance of Oracle database for genomics and proteomics projects in the Translational Gerontology Branch (TGB). What You Will Need: Master’s Degree A minimum of ONE (1) year of experience working in bioinformatics, biomedical or clinical research, or related science field. Strong communication skills, both oral and written. Proficient in Microsoft Office Suite. 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: Previous experience working with NIH preferred. The annual salary range for this position is $65,000.00-$108,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 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 Opportunity Employer–Protected 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 1-571-633-1711 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. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. 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 Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s 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. Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future. guidehouse.com