Bioinformatics Jobs

Dr. Xiaoqing Yu’s Lab, within the Department of Biostatistics and Bioinformatics at the H. Lee Moffitt Cancer Center, is seeking a highly motivated, independent, and collaborative postdoctoral research fellow interested in conducting exciting inter-disciplinary projects in omics data analysis and cancer biomarker discover. The post-doctoral research fellow will also be co-mentored by Drs. Jamie... Teer, Xuefeng Wang. The positions will remain open until filled. Position Highlights: • Work on unique, multi-omics datasets to support translational lung cancer research. • Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data. • The position is essential for development of comprehensive tools benefiting basic to clinical research through identification of novel biomarkers to treat cancer and the improved treatment stratification of cancer patients. • The postdoctoral research fellow will enjoy a close working relationship with bioinformaticians, statisticians, clinicians, translational researchers, as well as bench scientists to establish a well-rounded multidisciplinary team. • Moffitt integrates excellent patient care with cutting-edge clinical and basic research. Having a cancer hospital on-site provides unique opportunities for translational research. • Outstanding mentorship from expert faculty with wide-ranging funded research programs including T32 Training Grants. • You will be encouraged and supported to apply for training grants. The Ideal Candidate: • Experience of analysis and integration of multi-omics data (e.g., DNA-seq, RNA-seq, proteomics). • Research background/experiences in Bioinformatics, Statistics, Computational Biology, or Machine Learning. • A highly motivated and independent researcher with a strong quantitative scientific background. • Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems. • Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable. • Excellent communication and writing skills. • Experience of single-cell RNAseq, spatial transcriptome data, is preferred. Responsibilities: • Develop bioinformatics pipelines for analyzing high dimensional immunological data. • Develop novel visualization tools for interpreting big cancer Omics data. • Discover new predictive biomarkers for cancer prognosis. • Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data. • Supports the full life-cycle of omics data: experimental design, data quality control, bioinformatics analysis, biological interpretation of results, and delivery. • Collaborate on a variety of cancer and bioinformatics research projects. Credentials and Qualifications: PhD in Bioinformatics, Statistics/Biostatistics, Computational Biology, Data Science, Machine Learning, or related fields. Moffitt Postdocs are provided with Medical (Moffitt covers premium for team member) effective upon start date and eligible for Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. You may be eligible for relocation assistance per policy. Reasons to relocate, aside from the sunshine, beaches and year-round outdoor recreation associated with the Gulf Coast of Florida, Tampa is a thriving metropolitan city, which has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. We strive for work/life balance. If you have the vision, passion, and dedication to contribute to our mission, then we have a place for you. How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Xiaoqing Yu (xiaoqing.yu@moffitt.org

OPS Bioinformatics Technician Job No: 531754... Work Type: Temp Full-Time Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science Department: 11600101 - RE-ICBR-BIOINFORMATICS Job Description Classification Title: OPS Bioinformatics Technician Job Description: • Scientific software development using Python, R, and Bash to support analytical activities that include scripting, visualization, and reporting in a high-performance computing environment. • Management of large datasets, developing automated procedures for data storage, archival, and delivery. • Other duties as required. Expected Salary: $18 - $21 per hour, commensurate with education and experience Minimum Requirements: A bachelor's degree in an appropriate area of specialization and two years of experience. Preferred Qualifications: • Master's degree in Bioinformatics, Computational Biology, or related discipline. • Knowledge of Python, R, and Bash scripting, with demonstrable proficiency in at least one. • Experience with scientific data visualization. • Familiarity with Unix-based high-performance computing environments. • Familiarity with pipeline development frameworks (e.g. Nextflow). • Experience with NGS data analysis including bulk and single cell RNASeq. • Ability to communicate clearly and effectively with employees and customers. • Ability to willingly accept constructive criticism from supervisor. • Self-motivated, positive individual. • Ability to work effectively in a dynamic, team-oriented environment. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: 06 Jun 2024 To apply, visit https://explore.jobs.ufl.edu/en-us/job/531754/ops-bioinformatics-technician The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. jeid-24ffffa139b5c14c9ecafad4de9124b4

Tellus Solutions is in partnership with a committed biopharmaceutical company focused on providing innovative therapies. Your technical expertise as a Bioinformatics/ Computational Biologist in the area of curating/ analyzing GWAS and genetics data, and transcriptomics data which will impact the quality and duration of life. Job Description... • Role involves support for the integration, organization, and analysis of large and complex multi-omics datasets, but not limited to transcriptomics, genetics, and epigenetics. • A vital part of this role includes ensuring the precision, quality, and comprehensiveness of our dataset repositories. • The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists. They will apply, refine, and expand established workflows for effective multi-omic data curation and analysis. Key Responsibilities: • Curate and standardize GWAS summary statistics datasets ensuring accuracy and consistency. • Annotate genomic variants using established tools and databases. • Map SNPs to genes and determine their functional relevance. • Analyze transcriptomic datasets, including but not limited to bulk and single-cell RNA sequencing, to derive actionable insights. • Collaborate intimately with research teams to comprehend specific data requirements and applications. • Curate, maintain, and contribute to the project codebase. Qualification: • Masters with 1+ year of experience or PhD degree in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). • Proven capability in designing and implementing bioinformatics workflows and corresponding github codebase repositories. • in R programming and comfortable operating in a Unix/Linux and High-Performance Computing (HPC) environment. • Familiarity with genome-wide association studies, particularly in fine mapping and colocalization from GWAS summary data is expected. • Hands-on experience in curating and processing transcriptomic datasets, especially bulk and single-cell RNA-Seq, with the ability to conduct corresponding downstream analyses would be advantageous. • Knowledge and proficiency in basic statistical concepts, e.g. p-value, odds ratio, effect size, multiple testing correction, familiarity with Bayesian approaches employed for colocalization analysis would be advantageous. • Previous experience in immunological diseases or rare disease genetics is a plus

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet... The SCCC Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

Details for the position are as follows: • Location: 100% remote bust be okay generally working CST time zone hours. • Rate: $40-45 an hour depending on experience... Job Description: This role involves support for the integration, organization, and analysis of large and complex multi-omics datasets, but not limited to transcriptomics, genetics, and epigenetics. A vital part of this role includes ensuring the precision, quality, and comprehensiveness of our dataset repositories. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists. They will apply, refine, and expand established workflows for effective multi-omic data curation and analysis. • Curate and standardize GWAS summary statistics datasets ensuring accuracy and consistency. • Annotate genomic variants using established tools and databases. • Map SNPs to genes and determine their functional relevance. • Analyze transcriptomic datasets, including but not limited to bulk and single-cell RNA sequencing, to derive actionable insights. • Collaborate intimately with research teams to comprehend specific data requirements and applications. • Curate, maintain, and contribute to the project codebase. Required Skills: • Masters degree with 1+ year of post grad bioinformatics experience or PhD with 0+ years of experience. • R programming for bioinformatics workflow required. • GWAS / genetics / transcriptomic data curating and analyzing • HPLC or cloud environment experience required • Immunology or rare disease genetics a plus

Department Profile TGH Information Technologies invests over $100 million annually on technology and services. Over 75 percent of the department's team members hold professional certification in technology and IT-related functions. Tampa General has earned numerous awards for health information technology, including the prestigious "HIMSS Stage 7 Award" issued to less than four percent of all... hospitals in the country, and Hospital and Health Network's "Most Wired - Advanced" award for the past several years. TGH's Information Technologies division earned "Best Hospital IT Department" by Healthcare IT News. Job Summary The Director of Bioinformatics will develop and maintain Bioinformatics Core (BIC) in order to advance and integrate precision medicine approaches into the clinical and research missions of Tampa General Hospital across all entities. The Director will develop a vision and strategy for the BIC in order to manage, analyze and integrate diverse data streams (genomics, proteomics, metabolomics) to support academic and clinical missions of TGH community. Responsibilities include recruiting, training, and supervising staff and organizing the Information Technologies infrastructure to execute core BIC objectives. The BIC team will support researchers across the hospital and academic communities by providing services including but not limited to data management , multi-omic data analysis and modeling, development and application of novel state of the art algorithms and integration of data-driven approaches with patient care and hospital operation work flows. Responsibilities: • Recruit a team of bioinformaticians and research analysts. • Develop and oversee new collaborations such as, submission of new grants that cover bioinformatics effort, development of new internal or external collaborative agreements. • Develop and promote the funding model for expansion and sustainability of the core, including investments from organizational units around the community, charge-back models and collaborative grant applications to ensure long term sustainability. • Collaborate with clinical and translational investigators to develop and support appropriate research teams Follow institution guidelines, utilize good clinical and basic science research practice, and identify and ensure compliance with relevant regulatory requirements for agencies such as FDA, NIH, etc., and associated reporting requirements. Lead and collaborate on grant applications related to bioinformatics core projects. • Conduct data management and appropriate analysis, create reproducible and transparent code, check and/or verify results (QC) based on provided specifications, learn about new data structures and train and supervise junior bioinformaticians to perform these tasks. • Work with collaborators to develop a clear understanding of the scope of a project/task, expected deliverables, and develop strategies to address challenges in the research process. • Use analytical, algorithmic, and scientific understanding to propose and perform analyses and independently write the methods and analysis sections of reports/manuscripts. • Design and develop guidelines and processes to ensure the highest level of quality and efficiency. • Participate in leading national and international efforts aimed at establishing best practices and standards for -omics basic science and integration with clinical data representation and analysis. • Learn, implement, and stay knowledgeable about state-of-the-art methodologies. • Create deliverables that could serve as standards for quality and innovation in broader communities, building informatics tools for data management, -omics and imaging analyses within the reality of clinical data integration. • Provide best practice bioinformatics services to investigators across campus, including pre-experiment/grant consulting, application and training on the use of bioinformatics core software tools, and integration of user-generated and large-scale public data sets. • Develop a culture focused on breakthroughs, innovation, and contribution to the scientific community • Doctoral degree (PhD) in bioinformatics, biostatistics, computer science, and/or a closely related discipline required. • 5-8 years experience leading innovative research projects and establishing research collaborations with academic medical centers and industry research consortiums including multiple bioinformatics data types and algorithms. • Proven track record with the timely execution of bioinformatics projects. • Thorough knowledge of current and upcoming developments in the analysis and integration of multi- dimensional data. • Proven managerial skills, as evidence by 5-8 years supervisory/management experience and a strong focus on efficient project management. • Excellent communication skills as evidence by written and verbal reporting, presentations at conferences and publications in leading peer-reviewed journals. • An ability to articulate program to leadership and faculty. • Thrive on scientific challenges, enjoy collaborating with an interdisciplinary team and excel at communicating and coordinating between computational and wet-lab scientists. • Extensive knowledge of public domain bioinformatics data sources, accessible -omic databases, genomics tools, single cell analyses, and gene expression analysis. • Evidence of software development experience and proficiency in scripting; Experience with SQL or other relational database systems, Unix and mixed operating systems environments, high-dimensional data management and analysis. • Experience developing AI/ML algorithms to extract relevant features from large multi omics and multimodal datasets and developing classifiers. • Proficiency in R, Python, and SAS

The Research Data Analyst I will be working closely with Dr. Jennifer Permuth and other faculty in Moffitt's Department of Gastrointestinal Oncology Position Highlights... The Research Data Analyst I (Bioinformatics) will be responsible for conducting bioinformatics or statistical analyses in R, Python, SAS, or some other statistical software package under supervision of Principal Investigators from the Gastrointestinal Oncology (GI) Program. The Ideal Candidate: • Familiarity with Next Generation sequencing • Familiarity with other high-throughput bioinformatics data • Familiarity with high dimensional data wrangling • Familiarity with analysis techniques including machine learning, parallelization, and out-of-memory computation in a cluster environment, image processing, and high dimensional data visualization. • Have a working knowledge of cloud-based architecture and software engineering skills needed for the creation of IT infrastructure, such as dashboards and data visualization tools and clinical trial matching and personalized medicine capabilities. Responsibilities: • Works closely with the Principal Investigator(s) to manage and analyze data • Design, develop and deploy high performance computational software in the cluster to facilitate research to the PI. • Develop and utilize appropriate software methodologies for emerging genomic technologies • Work with systems and solutions architects to coordinate development efforts throughout the data lifecycle • Benchmark new tools for high dimensional data analysis as well as develop and apply novel analytic approaches to existing molecular epidemiology data • Aid in the design and maintenance of a cloud-based curated DataMart for the GI Oncology Program and fulfill honest broker/concierge level responsibilities. Credentials and Qualifications: • Bachelor's Degree in Biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field with 2 years of relevant experience is required • Completion of an intense data boot camp is equivalent to 1 year of experience. • OR Master's Degree in biostatistics, bioinformatics, computer science, computational biology, epidemiology, or related field is preferred. • Proficiency with Microsoft Office software, Unix environment, and statistical packages such as R, Python, SAS or other relevant software. • Familiarity with Next Generation sequencing or other high throughput bioinformatic data, high dimensional data wrangling and analysis techniques

The EPPIcenter at UCSF is looking for a talented and inspirational lead bioinformatician with a strong malaria background to lead a bioinformatics service team. Drawing on your own strong malaria bioinformatics background, you will work collaboratively to respond to researchers' data analysis needs, ranging from a supportive role with trainees, to developing new tools for the malaria community... You will work within a Scrum framework to manage incoming tasks from various stakeholders. Your responsibilities will include prioritizing tasks, assigning work to team members, and forecasting capacity to meet project objectives effectively. You will provide technical support and guidance to service team members, cultivating a supportive work environment, fostering their professional development and identifying training needs. Collaboration and communication are essential aspects of this role, as you'll facilitate interdisciplinary collaboration and knowledge exchange not only within the bioinformatics team but also with other researchers across the unit. Active engagement with stakeholders will be vital as you communicate project progress, outcomes, and potential implications. The final salary and offer components are subject to additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role. For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Research Computing at Boston Children’s supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge... research ranging from genomics to epigenetics and transcriptomics, proteomics and metabolomics. The Senior Bioinformatics Data Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, single-cell ATAC-seq, spatial transcriptomics, bulk RNA-seq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Responsibilities include: • Providing computational support services to Boston Children's Hospital scientists and clinicians by applying a wide range of bioinformatics tools, methods and technologies. • With minimal supervision and direction, completing highly complex assignments in the required timeframe; consistently adhering to and Promoting standard operating procedures and best practices; maintaining and upgrading a wide range of Research Computing tools, methods, and technologies, migrating data, documenting changes, and adjusting internal processes; resolving highly complex problems associated with assignments and seeking supervisor assistance when needed. • Routinely leading, co-leading, or participating in complex bioinformatics projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. To qualify you must have: • Minimum of 4-year Bachelor's degree in STEM. A minimum of one year of position-specific experience, which might potentially include experience acquired through MSc or Ph.D. studies. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals

WHY PATIENTS NEED YOU Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply... cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. POSITION SUMMARY Pfizer is seeking a talented, self-motivated Senior Associate Scientist (Bioinformatics) with background in developing analytical algorithm, data processing pipeline to support mRNA vaccine data analytics and next generation sequencing efforts in vaccines R&D team at Pearl River. Responsibilities will be driving therapeutic innovation through contributing to the vaccine development. You will apply analytical skills and develop bioinformatics tools used for whole genome sequencing, targeted sequencing, RNA sequencing and single cell sequencing. You will analyze sequence data and provide bioinformatics and data science support to various mRNA vaccines program. Work and documentation are to be done in a compliant manner according to relevant SOP guidelines and cGLP guidelines where appropriate. You will be part of a dynamic team and should possess a strong work ethic and collaborative spirit. KEY RESPONSIBILITIES • Develop and manage automated next generation sequencing (NGS) pipelines to support pathogen or host genome sequencing projects • Implement various open source bioinformatic pipelines and interpret analytical results to support mRNA vaccines' preclinical and clinical programs • Experience and knowledge about bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling • Develop novel algorithms and workflow for the analysis of vast amount data spanning different data types and provides scientific insights to guide vaccine design. • Present analytical results and review of literature at group meetings as needed. Maintain laboratory notebooks in compliance with the Pfizer Laboratory Notebook Policy. • Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer MINIMUM QUALIFICATIONS • Degree in computer science, bioinformatics, data science, computational biology or related field is required. • Bachelor's degree with 3~5 years of experience or master's degree with additional 1-3 years of related experience is preferred. This is NOT a PhD position. • Extensive experience in analyzing multi-omics next generation sequencing data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research. • Proficient coding/scripting in Python, R. Familiar with Biopython, Tidyverse, Bioconductor, scikit-learn • Familiar with Linux environments, high-performance computing and/or cloud computing environment and broad experience with open-source bioinformatics tools to generate scientific insight. • Must be comfortable with fast-paced environment handling multiple projects simultaneously with different priorities and timelines. Strong motivation, passion and commitment to interdisciplinary science and techniques. PREFERRED QUALIIFICATIONS • Familiar with various sequencing platforms: Ion Torrent, Illumina, PacBio, Nanopore, 10x genomic • Familiar with public resources: GISAID, NCBI, EMBL, UniProt, PDB • Knowledge about vaccine development and immunology Relocation support available Work Location Assignment:On Premise The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Research and Development