Biostatistician jobs at Hospital for Special Surgery - 125 jobs

How you move is why we're here. Now more than ever. Get back to what you need and love to do. The possibilities are endless... Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success. If this describes you then let's talk! HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News & World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise. Emp Status Regular Full time Work Shift Day (United States of America) Compensation Range The base pay scale for this position is $66,500.00 - $101,000.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.What you will be doing Biostatistician I Position Summary The HSS Research Institute's Program in Biostatistics and Bioinformatics provides comprehensive methodologic and analytic support to clinical, translational, and basic scientists conducting musculoskeletal research at the Hospital for Special Surgery. The Program seeks an individual to join the Outcomes Research group. In this role, you will collaborate with HSS scientific investigators to provide study design and statistical analysis support for a variety of clinical research projects. There will be opportunities for authorship on publications stemming from your work as well as opportunities for teaching residents and fellows. Specifically, the Biostatistician I will offer expertise in study design, execution, analysis, and reporting of musculoskeletal research projects under the supervision of more senior biostatisticians. Essential Tasks/Responsibilities: Assist in protocol development including study design, sample size and power calculations and statistical analysis plans. Proficiency in data preparation, descriptive analyses, comparative statistics, and advanced statistical modeling. Conduct statistical analysis using SAS, R or STATA. Communicate results to investigators in writing and meet with investigators to explain findings in a concise and clear manner. Responsible for accuracy and timeliness of summary reports, tables, and figures to investigators and study team. Collaborate on grants, presentations and manuscripts submitted for publication, including writing of methods sections and analysis plans for incorporation into protocols and grant submissions. Stay informed on statistical techniques as applied to musculoskeletal research issues by reading journals and/or attending courses/programming meetings. Be able to collaborate with peers Education/Experience Master's Degree or higher in biostatistics or related field. 1-2 years of experience working as a biostatistician preferred Experience in musculoskeletal research preferred. Competencies Competency in statistical software is required. Preferred software includes SAS, R and STATA. Proficiency in a wide range of statistical methods including regression modelling and longitudinal analysis. Effective written and oral communication. Ability to work independently and meet deadlines for deliverables. Provide sound methodologic review to an internal scientific review panel. Demonstrate good organization skills, effective time management, and the ability to manage several concurrent tasks. Maintain a team-oriented approach and possess the ability to cultivate a positive and collegial workplace relationships - demonstrating integrity and ethics at all times. Non-Discrimination Policy Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands-on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one! Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status. Why you'll love working at Axogen: Friendly, open, and fun team culture that values unique perspectives Company-wide dedication to profoundly impacting patients' lives Comprehensive, high-quality benefits package effective on date of hire Educational assistance available for all employees Matching 401(k) retirement plan Paid holidays, including floating holidays, to be used at your discretion Employee Stock Purchase Plan Referral incentive program Axogen Mission and Business Purpose Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care. Job Summary of the Biostatistician The Biostatistician is responsible for the design and conduct of clinical research studies including developing statistical analysis plans, performing basic and complex statistical analysis, interpretation and reporting of study results and other required activities as needed. Responsibilities include providing data analysis input to meet project objectives, contributing to statistical analysis sections of IRB and grant applications, developing and executing statistical programs to perform analyses and prepare data displays, drafting analysis and results sections for clinical study reports and scientific papers, and supporting general publication of study findings. Requirements of the Biostatistician A Ph.D. degree or equivalent in statistical science, mathematical analysis or related field plus 5 years' relevant experience or a master's degree plus 8 years' relevant experience with demonstrated ability and sustained performance at the Ph.D. level. Minimum 5 years of experience working in the biologic/biotechnology, pharmaceutical, and/or medical device industry Demonstrated success in delivering on goals and being part of fast-moving, collaborative team Broad regulatory understanding of functions and processes involved in pharmaceutical, biologic, and/or medical device product development Must demonstrate strong interpersonal, written, and oral communication skills across various levels of management and demonstrate the ability to manage differences and needs between multiple stakeholders Responsibilities of the Biostatistician The specific duties of the Biostatistician include but are not limited to: Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Apply project management skills, statistical and programming techniques, and achieve quality and on time delivery of deliverables. Coordinate activities with project/program overall management personnel to achieve program objectives. Under supervision may represent the company to interact with regulatory agencies regarding matters relating to the statistical areas of the responsible projects/programs. Statistical Planning and Methodologies: Provide strong statistical expertise for design, analysis and reporting of clinical trials and research projects. Write statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address quality control (QC) review comments. Create and maintain Statistical and Programming QC and QA Plans for assigned projects or programs. Provide input to unblinded data management plan when required. Participate or lead research and development of statistical methodologies and processes. Lead efforts in planning, researching and designing statistical methods and approaches in solving complex trial data analysis and operational issues. Statistical Programming: Develop and/or review ADaM and/or SDTM dataset specifications. Lead efforts in resolving complex data derivation and data handling issues. Perform statistical programming to either build analysis datasets and generate statistical tables, listings and graphs (TLGs) or perform QC validation of these datasets and TLGs. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to Data Standards Review comments to ensure quality of documents. Perform QC programmatic checks on core study results as well as overall quality/consistency review of statistical TLGs. Statistical Analysis and Reporting, Publication Support: Perform complex statistical modeling and analyses, implement new statistical analysis methods and strategies. Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting. Contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR, or perform peer review of the contents. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters. Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. Perform other duties as directed by the Supervisor Location Remote OR 111 West Oak Ave., Tampa, FL 33602 #LI-AC1 #LI-REMOTE Benefits/Compensation This position is eligible for an annual bonus. Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions. Salary Range$126,058-$157,572 USD Axogen follows healthcare system guidelines with respect to credentialing, vaccinations and other employment/compliance related requirements, as well as CDC guidance. Axogen reserves the right to amend its policies from time to time in its sole discretion.

The Senior Biostatistician is responsible for providing statistical support, including study design, sample size and protocol development in support of clinical projects. Prepares statistical analysis plans, generates statistical summary tables and performs database integration for more comprehensive analyses. Masters degree in biostatistics or related field. PhD degree preferred. 5 years of biostatistics or related experience in clinical research. Non Bargaining Unit, 857 - Rehabilitation and Human Performance - ISM, Icahn School of Medicine Ensures the statistical integrity and accuracy of research data. Performs statistical design, modeling, and analyses. Provides statistical summaries and reports of studies in support of product development. Interacts and consults with scientists and engineers to ensure proper use of statistical methodology and interpretation of results. Programs statistical software packages (i.e., SAS, STAT, R software) to improve efficiency of life science projects. May respond to questions from regulatory authorities on statistical issues. Prepares statistical analysis plans, timelines for statistical project management and performs and interprets complex analyses. Utilizes knowledge of statistics and medical understanding to propose and perform additional analyses when appropriate. May develop and implement strategic, machine learning / biocomputational research investigational projects. Assists in the development of systems platforms within the department. Develop programmatic efforts to provide bio-statistical services to various clinical programs. Documents analyses, creates summaries and presents written and verbal results to requestors. Writes statistical text for study reports and clinical publications. Prepares analysis plans and methods used for incorporation in abstracts, manuscripts and grants. Identifies potential data problems from analytic queries and takes appropriate actions to guide the resolution process. Collaborates with principal investigators, sponsors and external representatives to ensure that project results and conclusions are presented accurately and without bias and to jointly achieve objectives and timelines. Provides quality review on statistical analysis plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol. Adheres to standard operating procedures of the functional department as they apply to documentation and validation of clinical research statistics. Provides consultation to the clinical research project team on statistical issues related to the project. Performs statistical programming to implement complex statistical analysis plan. Manipulates databases to obtain and analyze variables as required. Performs other related duties.

The Biostatistician II is responsible for providing statistical support, including study design, sample size and protocol development in support of clinical projects. Prepares statistical analysis plans, generates statistical summary tables and performs database integration for more comprehensive analyses. Master's degree in biostatistics or related field. PhD degree preferred. 3 years of biostatistics or related experience in clinical research Non-Bargaining Unit, 857 - Rehabilitation and Human Performance - ISM, Icahn School of Medicine Prepares statistical analysis plans, timelines for statistical project management and performs and interprets basic and complex analyses. Utilizes knowledge of statistics and medical understanding to propose and perform additional analyses when appropriate. Documents analyses, creates summaries and presents written and verbal results to requestors. Writes statistical text for study reports and clinical publications. Prepares analysis plans and methods used for incorporation in abstracts, manuscripts and grants. Identifies potential data problems from analytic queries and takes appropriate actions to guide the resolution process. Collaborates with principal investigators, sponsors and external representatives to ensure that project results and conclusions are presented accurately and without bias and to jointly achieve objectives and timelines. Provides quality review on statistical analysis plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol. Adheres to standard operating procedures of the functional department as they apply to documentation and validation of clinical research statistics. Provides consultation to the clinical research project team on statistical issues related to the project. Performs statistical programming to implement complex statistical analysis plan. Manipulates databases to obtain and analyze variables as required. Mentors and trains less experience staff Performs other related duties.

The Biostatistician I is responsible for providing statistical support, including study design, sample size and protocol development in support of clinical projects. Prepares statistical analysis plans, generates statistical summary tables and performs database integration for more comprehensive analyses. Masters degree in biostatistics, computational biology or related. 1-2 years of biostatistics or related experience in clinical research preferred Advanced level of experience in SAS, R or similar application Non-Bargaining Unit, 857 - Rehabilitation and Human Performance - ISM, Icahn School of Medicine Prepares statistical analysis plans, timelines for statistical project management and performs and interprets basic and complex analyses. Utilizes knowledge of statistics and medical understanding to propose and perform additional analyses when appropriate. Documents analyses, creates summaries and presents written and verbal results to requestors. Writes statistical text for study reports and clinical publications. Prepares analysis plans and methods used for incorporation in abstracts, manuscripts and grants. Identifies potential data problems from analytic queries and takes appropriate actions to guide the resolution process. Collaborates with principal investigators, sponsors and external representatives to ensure that project results and conclusions are presented accurately and without bias and to jointly achieve objectives and timelines. Provides quality review on statistical analysis plan to ensure consistency with protocol and adequacy to meet objectives defined in protocol. Adheres to standard operating procedures of the functional department as they apply to documentation and validation of clinical research statistics. Provides consultation to the clinical research project team on statistical issues related to the project. Collaborates with statistical programmers that support clinical projects to identify potential data problems from analytic queries and to take appropriate action to guide the resolution process. Performs other related duties.

General SummaryUnder general supervision of the Statistics Project Manager or higher, the Senior Statistician will perform methodology research and provide statistical expertise for the design, analysis, and reporting for assigned clinical studies. The Senior Statistician will conduct independent consultation across functional teams as needed. The incumbent may participate in planning meetings with strategic teams for purposes of identifying and communicating necessary statistical approaches to meet research and clinical trial objectives. The Senior Statistician will liaise with medical writers and study investigators in preparing research manuscripts for publication. Specific Duties and Responsibilities•Develops statistical methods and other relevant sections of major deliverables such as protocols, analysis plans, study reports and scientific publications. Prepare key sections of clinical study reports and various regulatory documents.* •Responsible for sample size estimation and justification.*•Responsible for randomization specifications using standard methodology. Develops complex randomization specifications with supervision.*•Works with external vendors to effectively implement the randomization schedule.•Support submission activities and documents, provide input on responses to regulatory authorities and other device development activities, as required. •Contribute to decision making on CRF data collection to ensure alignment with protocol objectives and statistical analyses defined in the protocol. •Actively participates in meetings to identify data collection instruments and database design requirements.•Author statistical analysis plans, including interim analysis and stopping rules, ensuring statistical methods and corresponding details are consistent with the study design, and sufficiently detailed for programming implementation including development of table and listing shells. Coordinate statistical analysis plans written by contractor or junior statisticians.*•Explain statistical concepts to non-statisticians to enhance their understanding of the analysis approach. Clearly communicate fundamental statistical concepts to statisticians and other personnel.•Summarizes and presents results (verbal and written) clearly, including creating reports for the Data Monitoring Committee to review patient accrual, overall study progress, treatment efficacy, and patient safety data.•Independently identifies issues arising in the design, conduct or analysis of clinical trials and proposes alternative analysis strategies or other recommendations to address these issues.•Uses statistical and medical understanding to propose and perform additional analyses appropriately.•Works collaboratively with multi-function teams to complete project deliverables per agreed timelines.•Ensures accuracy and internal consistency of report or publication, including text, tables, listings, and figures. Performs statistical QC for protocol, analysis plan, study report, and other major deliverables, including abstracts, oral and poster presentations and publications.* •Collaborates in publication of scientific research results in assigned areas. Works with project team to develop strategy for data presentation.•Identify and recommend corrections of flaws in scientific logic and statistical interpretation•Ensures consistency in presentation, inference, and adherence to accepted report guidelines and publication practices•Provides critical review to enhance quality of data presentation and scientific/statistical arguments•Participates in departmental activities including recruiting, training, mentoring, and cross-functional collaborations, as needed.•Maintains technical skills and increases own knowledge of new statistical methodology or areas of application through use of the scientific literature and by attending conferences and workshops, opportunity permitting.•Presents own statistical research or review of the statistical literature at meetings and seminars. •Demonstrates ability to act as a resource for other statisticians about a broad spectrum of analysis methods.•Possesses broad programming abilities and shares them with others by consultation and example.•Maintains programming skills even when delegating many programming tasks to others.•Able to guide, negotiate, and coordinate all statistical project responsibilities independently.*•Collaborates with project team members, including the project lead, investigators, statistical colleagues in manner that consistently demonstrates a high level of expertise, experience, and professionalism.•Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * •Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * •Ensure other members of the department follow the QMS, regulations, standards, and procedures.* •Perform other work-related duties as assigned. *Indicates an essential function of the role Position QualificationsMinimum education and experience:•Master's degree in Statistics, Biostatistics, Math or other scientific discipline with 6+ (six) years of experience or Bachelor's degree with 8+ years of experience in Clinical trial analysis in a medical device or pharmaceutical environment, or an equivalent combination of education and experience. Additional qualifications: •Competent in study design, descriptive and inferential statistics, clinical trial applications and computer programming.•Understanding of FDA regulatory requirements and ICH/GCP preferred.•High degree of accuracy, organizational skills and attention to detail are essential.•Experience analyzing complex study objectives and developing appropriate analysis specifications and plans. •Exercising judgment in selecting methods, techniques, and evaluation criteria for obtaining results. •Builds strong relationships with peers and cross functionally with partners outside of team Experience writing statistical analysis plan (SAP) from the clinical protocol and other study specific documents. •Familiarity with relational databases and understanding of fundamental statistical methods, such as non-parametric analysis, linear and non-linear models, categorical data and survival analysis techniques.•Able to work under time pressure and handle multiple tasks simultaneously.•Determines methods and procedures on new assignments and may coordinate activities of other personnel. Strong interpersonal, collaborative and communication skills are required. Annual Base Salary Range: $127,000 - $207,000This is the pay range for a mid-cost labor market. If hired in another region, there will be a difference in pay range . We offer a competitive compensation package plus a benefits and equity program, when applicable. Individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. What We Offer•A collaborative teamwork environment where learning is constant, and performance is rewarded.•The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases.•A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. What You'll Do You will lead integrative, multi-omics analyses spanning structural biology, proteomics, and other data types to accelerate therapeutic discovery in rare and genetically defined diseases. Working independently in a dynamic, data-driven environment, you will identify analytical opportunities, design computational approaches, and develop solutions that connect insights across modalities. The ideal candidate combines broad scientific fluency with strong Python-based engineering skills and a proactive, self-directed work style. #LI-TC1 Responsibilities Design and execute computational analyses focused on structural biology and proteomics, while routinely extending to additional omics and data domains Develop and maintain robust Python codebases and packages that support reproducible and scalable analyses Apply statistical and computational methods, including selective use of AI/ML where appropriate, to derive interpretable biological insights Work independently to define analytical goals, prioritize efforts, and deliver solutions that advance translational and program objectives Stay current with evolving multi-omics technologies and computational tools, introducing innovative methods where they can add value Communicate key findings clearly through reports, visualizations, and presentations to technical and non-technical audiences Where You'll Work This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio's San Francisco office or conference locations. Who You Are Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Systems Biology, Data Science, or a related field 3+ years of postdoctoral or industry experience working with large-scale human omics data Broad experience across computational biology, with strength in structural biology and/or proteomics and the ability to connect across diverse modalities Strong Python software development skills, including package development or contributions to shared repositories with multiple collaborators Proven ability to work independently, take initiative, and drive projects from concept to completion Solid grounding in statistics and data science, with experience analyzing high-dimensional biological data Familiarity with AI/ML approaches for data exploration or interpretation, with sound judgment on when and how to apply them Excellent communication skills and ability to deliver results in a fast-moving, cross-disciplinary environment Rewarding Those Who Make the Mission Possible We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. Financial Benefits: Market leading compensation 401K with 100% employer match on first 3% & 50% on the next 2% Employee stock purchase program Pre-tax commuter benefits Referral program with $2,500 award for hired referrals Health & Wellbeing: Comprehensive health care with 100% premiums covered - no cost to you and dependents Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions) Hybrid work model - employees have the autonomy in where and how they do their work Unlimited flexible paid time off - take the time that you need Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents Flex spending accounts & company-provided group term life & disability Subsidized lunch via Forkable on days worked from our office Skill Development & Career Paths: People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states. Salary$185,000-$220,000 USD

Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Cincinnati, OH OR Remote Travel: Up to 20 days per year Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Senior Data Scientist, you will work on these problems by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. What You'll Do In this role, you'll work with a cross-functional team to spearhead algorithmic pricing across the business. You'll be a core member of the team responsible for upgrading the ad tech stack PatientPoint relies on to deliver impactful point of care content. To be successful, you'll need to develop a deep understanding of the goals and constraints of campaigns and leverage machine learning and optimization methods to consistently deliver impactful results for clients. As an experienced subject matter expert in this space, you'll also mentor and coach less experienced data science team members as they continue to develop their skills. What We Need 6+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders. Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights. Bachelors degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field. Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. Advanced knowledge and competency of machine learning and data science methods including predictive modeling, model validation and selection, network analysis, price elasticity estimation, optimization under constraints, etc. Experience promoting models through the lifecycle and monitoring model performance. Strong communication skills and a collaborative attitude for working with stakeholders. Desired Qualifications Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field . Professional experience in healthcare, pharmaceutical, and digital advertising industries. Experience with Snowflake, Cursor, Airflow, HEX, Gurobi. What You'll Need to Succeed Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. Highly self-motivated and self-directed. Critical thinking with the ability to identify and solve problems in a fast-paced environment. The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience. Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and pricing. Consistent ability to deliver results aligned to expected timelines. Enthusiasm for responding to a dynamic range of questions and analytical challenges. Base Salary Band: $143,374 - $210,544 Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint's total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description. #LI-ED1 #LI-Remote About PatientPoint: PatientPoint is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation's largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com. Latest News & Innovations: Named A Best Place to Work! Read More Mike Walsh, COO answers "What Makes a Great Leader". Read More Recognized on Vault's Top Internship List. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands-on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one! Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status. Why you'll love working at Axogen: Friendly, open, and fun team culture that values unique perspectives Company-wide dedication to profoundly impacting patients' lives Comprehensive, high-quality benefits package effective on date of hire Educational assistance available for all employees Matching 401(k) retirement plan Paid holidays, including floating holidays, to be used at your discretion Employee Stock Purchase Plan Referral incentive program Axogen Mission and Business Purpose Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care. Job Summary of the Biostatistician The Biostatistician is responsible for the design and conduct of clinical research studies including developing statistical analysis plans, performing basic and complex statistical analysis, interpretation and reporting of study results and other required activities as needed. Responsibilities include providing data analysis input to meet project objectives, contributing to statistical analysis sections of IRB and grant applications, developing and executing statistical programs to perform analyses and prepare data displays, drafting analysis and results sections for clinical study reports and scientific papers, and supporting general publication of study findings. Requirements of the Biostatistician A Ph.D. degree or equivalent in statistical science, mathematical analysis or related field plus 5 years' relevant experience or a master's degree plus 8 years' relevant experience with demonstrated ability and sustained performance at the Ph.D. level. Minimum 5 years of experience working in the biologic/biotechnology, pharmaceutical, and/or medical device industry Demonstrated success in delivering on goals and being part of fast-moving, collaborative team Broad regulatory understanding of functions and processes involved in pharmaceutical, biologic, and/or medical device product development Must demonstrate strong interpersonal, written, and oral communication skills across various levels of management and demonstrate the ability to manage differences and needs between multiple stakeholders Responsibilities of the Biostatistician The specific duties of the Biostatistician include but are not limited to: Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Apply project management skills, statistical and programming techniques, and achieve quality and on time delivery of deliverables. Coordinate activities with project/program overall management personnel to achieve program objectives. Under supervision may represent the company to interact with regulatory agencies regarding matters relating to the statistical areas of the responsible projects/programs. Statistical Planning and Methodologies: Provide strong statistical expertise for design, analysis and reporting of clinical trials and research projects. Write statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address quality control (QC) review comments. Create and maintain Statistical and Programming QC and QA Plans for assigned projects or programs. Provide input to unblinded data management plan when required. Participate or lead research and development of statistical methodologies and processes. Lead efforts in planning, researching and designing statistical methods and approaches in solving complex trial data analysis and operational issues. Statistical Programming: Develop and/or review ADaM and/or SDTM dataset specifications. Lead efforts in resolving complex data derivation and data handling issues. Perform statistical programming to either build analysis datasets and generate statistical tables, listings and graphs (TLGs) or perform QC validation of these datasets and TLGs. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to Data Standards Review comments to ensure quality of documents. Perform QC programmatic checks on core study results as well as overall quality/consistency review of statistical TLGs. Statistical Analysis and Reporting, Publication Support: Perform complex statistical modeling and analyses, implement new statistical analysis methods and strategies. Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting. Contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR, or perform peer review of the contents. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters. Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. Perform other duties as directed by the Supervisor Location Remote OR 111 West Oak Ave., Tampa, FL 33602 #LI-AC1 #LI-REMOTE Benefits/Compensation This position is eligible for an annual bonus. Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions. Salary Range$126,058-$157,572 USD Axogen follows healthcare system guidelines with respect to credentialing, vaccinations and other employment/compliance related requirements, as well as CDC guidance. Axogen reserves the right to amend its policies from time to time in its sole discretion.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Outcomes Research team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus's real world data offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team. Responsibilities: Participate in clinical projects with external Pharma, academic and other partners Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies Work on complex problems, exercising judgment in selecting and adapting methods as appropriate Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients Stay current with the latest methodological advances in real world studies Build infrastructure including reusable code Comply with all applicable regulations and Company procedures Required Experience: Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor's degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields. Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages Ideal candidates will possess: Strong data manipulation and analysis skills Ability to tackle large, ambiguous problems Strong communication and presentation skills Self-starter Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research Experience in cancer genetics, immunology, or molecular biology Self-driven and works well in interdisciplinary teams Collaborative mindset, an eagerness to learn and a high integrity work ethic Sharp attention to detail and passion for delivering high quality and timely analytics deliverables Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations Nice to have: Experience with version control and software testing Experience with time to event analysis and methodology Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources) Hands-on experience in helping to prepare regulatory submissions to the FDA Experience supporting data science teams in model building and validation Client facing or consulting experience and comfort with presenting results to stakeholders #LI-NK1 #LI-REMOTE CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Thank you for considering a career at Ensemble Health Partners! Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Thank you for considering a career at Ensemble Health Partners! Healthcare impacts each of us, yet the current system remains fundamentally broken. Many of us have seen loved ones face the devastating challenge of unaffordable care. At Ensemble, we are committed to changing this reality by driving down healthcare costs and eliminating obstacles, creating a system that truly puts people first, last, and always. We are dedicated to revolutionizing healthcare with cutting-edge, technology-enabled revenue cycle management solutions for health systems. We're here to solve how to reduce the friction and improve the cost of healthcare for better client and patient outcomes. As a leader in revenue technology, Ensemble is redefining what is possible in healthcare through innovation, purpose and human-centered solutions. We offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Why do we do what we do? It's all about our O.N.E Purpose: Our commitment to transforming healthcare goes beyond technology and innovation. It's rooted in a purpose-driven approach that emphasizes customer obsession, embraces new ideas, and strives for excellence-principles that define our O.N.E Purpose and inspire everything we do. Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI. Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare. Why Join Us? People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day. Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience. Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas. Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous. Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation. Job Summary Take on a pivotal role in addressing healthcare's toughest challenges with advanced AI solutions. As a Senior Data Scientist, you'll build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. predictive analytics. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. The successful Senior Data Scientist candidate will work closely with business and product owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with software engineers and developers to deliver solutions. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have practical experience in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Essential Job Functions Frequent travel may be required Lead AI strategy by delivering solutions that combine software engineering, statistics, and machine learning effectively for complex clinical applications. Execute deep, thoughtful, analytical experiments that utilize the most appropriate techniques and lead to substantial incremental improvements. Deliver excellent reports and presentations to highlight relevant hypothesis and insights that drive decision making within the organization. Identify, collect, transform and explore data to become the resident expert on available data within the organization. Coordinate between Engineers and Product Analysts and the broader organization to facilitate seamless collaboration. Other Preferred Knowledge, Skills and Abilities Ability to travel as needed 3+ years experience working in data scientist capacity. PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. 3+ years' experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. Statistical Analysis: Proficiency in statistical techniques and tools. Machine Learning: Knowledge of machine learning algorithms and their applications. Programming: Strong programming skills (e.g., Python, R, or SQL). Data Visualization: Ability to create meaningful visualizations. Ability to design, implement, test and deploy Machine Learning models. Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. Ability to work both independently and in a team-based, fast-paced environment. Excellent communication skills, both written and verbal. Desired Work Experience 5 to 7 Years Desired Education Post Graduate Degree or Equivalent Experience CAREER OPPORTUNITY OFFERING: Bonus Incentives Paid Certifications Tuition Reimbursement Comprehensive Benefits Career Advancement This position pays between $83,200 - $159,450 based on experience #LI-MT1 #LI-Remote Join an award-winning company Five-time winner of “Best in KLAS” 2020-2022, 2024-2025 Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024 Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 Energage Top Workplaces USA 2022-2024 Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024 Innovation Work-Life Flexibility Leadership Purpose + Values Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include: Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. Ensemble Health Partners is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble Health Partners also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble Health Partners provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact *****************. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range. EEOC - Know Your Rights FMLA Rights - English La FMLA Español E-Verify Participating Employer (English and Spanish) Know your Rights

Responsibilities: Design and develop robust and scalable data models on the Snowflake platform to support the current and future reporting needs of Workplace Investing. Collaborate closely with business analysts, report developers, and data engineers to understand data requirements and translate them into efficient and effective data models. Develop conceptual, logical, and physical data models, ensuring alignment with best practices and data governance standards. Optimize data models for performance, scalability, and ease of use for Power BI reporting. Participate in data mapping and data lineage activities to ensure data integrity and traceability during the migration process. Contribute to the development and maintenance of data dictionaries and metadata repositories. Identify and resolve data modeling issues and provide recommendations for improvements. Stay abreast of the latest data modeling techniques and technologies relevant to Snowflake and cloud-based data warehousing. Participate in the testing and validation of data models. Provide support and guidance to report developers on data model usage and interpretation. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience 7+Years in data modeling for data warehousing and business intelligence projects. Strong expertise in developing conceptual, logical, and physical data models (e.g., dimensional modeling, relational modeling, star schema, snowflake schema). Hands-on experience working with Snowflake as a data warehousing platform. Familiarity with data integration processes and tools. Understanding of data governance principles and practices. Excellent SQL skills for data querying and analysis. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills, with the ability to effectively interact with both technical and business stakeholders. Experience working in an Agile development environment is a plus. Prior experience with Power BI or other data visualization tools is beneficial. Knowledge of financial services or investment management data is a plus. Compensation, Benefits and Duration Minimum Compensation: USD 35,000 Maximum Compensation: USD 123,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Greetings Everyone Job Description: Data Modeler Onsite 7 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills. Financial Domain knowledge is plus. Should have strong understanding of cloud Data warehouse like Snowflake and Data modelling skill using Data Vault 2.0 . Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data sources / tools such as Hive , S3 , Trino , HUE , etc. Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc.) Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions. Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance. Compensation, Benefits and Duration Minimum Compensation: USD 34,000 Maximum Compensation: USD 120,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check ***************************** What will you do? What are we looking for? Job Description : • 5 + years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. Financial Domain knowledge is plus. • Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 . • Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc • Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . • Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc) • Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 • Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and DataGovernance team on a daily basis to analyze requirements, design, development and deployment technical solutions. • Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses • Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, DataDictionary, Data Mapping, Data Policy, and Data Governance. • Need to have at least 2 hours overlap with Pacific Timings to interact with Onsite team and to attend daily standup meetings . Compensation, Benefits and Duration Minimum Compensation: USD 38,000 Maximum Compensation: USD 133,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is also available for independent contractors No applications will be considered if received more than 120 days after the date of this post

Provide epidemiologic resources to direct studies, forecast, and analyze statistical data. Possesses an understanding of database architecture (relational, hierarchical, types of data) and the ability to extract, manipulate datasets to prepare them for solid statistical analysis. Provide analyses and trends to strategically plan for program development and publications. Provide leadership and collaboration in the design of scientific research projects. EDUCATION: Master's degree required, PhD preferred EXPERIENCE: Minimum of 3 years experience with analysis experience of medical data or statistical training that was done at an academic medical center. Education in the area of epidemiology and statistics, health care background, strong computer skills, medical terminology. SPECIAL SKILLS: Proficiency in the use of one or more standard statistical packages (SPSS, SAS, R, STATA, etc.). Job Location The Valley Hospital-Paramus Shift Day (United States of America) Benefits Medical/Prescription, Dental & Vision Discount Program (Full Time/Part Time Employees) Group Term Life Insurance and AD&D(Full Time Employees) Flexible Spending Accounts and Commuter Benefit Plans Supplemental Voluntary Benefits ( e.g. Short-term and Long-term Disability, Whole Life Insurance, Legal Support, etc.) 6 Paid Holidays, Paid Time Off (varies), Wellness Time Off, Extended Illness Retirement Plan Tuition Assistance Employee Assistance Program (EAP) Valley Health LifeStyles Fitness Center Membership Discount Day Care Discounts for Various Daycare Facilities SalaryJoining Valley Health System means becoming part of a dedicated team that values the highest quality of care in a supportive environment. In our commitment to high performance and reliability, we encourage and recognize exceptional individual performance through our industry leading compensation practices including a starting salary and benefits in accordance with your role, experience, education, and licensure. Actual individual salaries vary depending on these factors. The salary listed does not include other forms of compensation or benefits.Pay Range: $90,168.00 - $112,715.20The posted pay range reflects the compensation for a full-time equivalent (1.0 FTE) EEO Statement Valley Health System does not discriminate on the basis of ancestry, age, atypical hereditary cellular or blood trait, civil union status, color, creed, disability, domestic partnership, gender, gender identity or expression, familial status, genetic information, liability for service in the Armed Forces of the United States, marital status, medical condition or illness, mental or physical handicap, national origin, nationality, perceived disability, pregnancy, race, refusal to submit to genetic testing or make available results of such tests, religion, sex, sexual orientation, veteran's status or any other protected basis, in accordance with all applicable Federal, State and Local laws. This applies to all areas of employment, including recruitment, hiring, training and development, promotion, transfer, termination, layoff, compensation, benefits, social and recreational programs, and all other conditions and privileges of employment.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Real World Evidence (RWE) group within the Pharma R&D team at Tempus works with major pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Tempus's real-world data offering. We are seeking a highly motivated and solutions-oriented RWE Data Scientist II with experience and interest in oncology and epidemiological study design to join our team. This role requires the ability to lead observational studies, derive insights from complex real-world clinical data, implement advanced statistical methods, and leverage cutting-edge AI tools to scale tasks and augment insights. Responsibilities: * Strategic Pharma Partnership: Lead the design and execute delivery of RWE analyses for key pharma clients. You will be responsible for translating complex drug development questions and into actionable research plans that use Tempus data for trial design and outcomes research. * Real World Data Expertise & Technical Oversight: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data. * Methodological Standards & Mentorship: Set the technical standard for the team by implementing advanced methods in survival analysis, machine learning and predictive modeling. You will actively mentor more junior scientists, guiding their technical development, reviewing code, and developing tools that set best practices across the organization. * AI-Enhanced Workflows: Drive the practical adoption of LLMs and agentic tools into your own and the broader team's daily workflow. Your focus will be on using these technologies to improve the speed and accuracy of code development, documentation, and review. * Scientific Leadership & Influence: Own the communication of high-stakes results to both internal executives and external partners. You will be responsible for the scientific integrity of all deliverables, including manuscripts, conference abstracts, and technical reports where appropriate. * Cross-Functional Collaboration: Collaborate with internal product, oncology, and clinical abstraction, and real-world data science teams to continually enhance Tempus data quality, products, and analytical best practice. You will proactively identify gaps in current products and ensure that customer feedback is represented in development of new products. * Oncology & RWE Domain Expertise: Maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies. You will be responsible for translating these external shifts into internal strategy, ensuring that our research designs and data modeling stay ahead of the evolving oncology landscape and reflect the most current standard of care. Minimum Qualifications: * Education: Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either: * PhD and 4+ years of additional work experience * Master's degree and 6+ years of additional work experience * Technical & Statistical Mastery: * Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis). * Track record of leading RWD analytical studies from initial scoping through to publication or dissemination. * Proficient in using R and SQL, especially statistical tools and packages. * Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows. * Adherence to good software engineering practices (version control, modular code, documentation). * Experience with code review. * Communication & Client Ownership: Experience as a primary technical point of communication for pharma clients, with a proven ability to collaborate on study design and translate highly technical findings into strategic recommendations for senior-level stakeholders. * Leadership & Soft Skills: Strong project leadership and the ability to manage multiple high-priority workstreams simultaneously in a fast-paced environment. * Soft Skills: Strong project leadership with excellent written and verbal communication skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems. * Experience mentoring junior scientists, providing rigorous technical review, and fostering a culture of continuous methodological improvement. Preferred Skillsets: * Experience working with Pharma or drug development. * Experience in clinical trial design (particularly Phase II-III) in the clinical development space. * Extensive proficiency with claims, EHR, or registry data. * Practical experience building, fine-tuning, or configuring LLM-based tools and agentic workflows specifically for scientific discovery. * High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care. * Significant experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets. * Proficiency in managing large-scale data projects within cloud environments such as AWS or Google Cloud Platform (GCP), including BigQuery expertise. CHI: $130,000-$175,000 USD NYC/SF: $140,000-$185,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Outcomes Research team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus's real world data offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team. Responsibilities: * Participate in clinical projects with external Pharma, academic and other partners * Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies * Work on complex problems, exercising judgment in selecting and adapting methods as appropriate * Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients * Stay current with the latest methodological advances in real world studies * Build infrastructure including reusable code * Comply with all applicable regulations and Company procedures Required Experience: * Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor's degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields. * Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages Ideal candidates will possess: * Strong data manipulation and analysis skills * Ability to tackle large, ambiguous problems * Strong communication and presentation skills * Self-starter * Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research * Experience in cancer genetics, immunology, or molecular biology * Self-driven and works well in interdisciplinary teams * Collaborative mindset, an eagerness to learn and a high integrity work ethic * Sharp attention to detail and passion for delivering high quality and timely analytics deliverables * Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations Nice to have: * Experience with version control and software testing * Experience with time to event analysis and methodology * Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources) * Hands-on experience in helping to prepare regulatory submissions to the FDA * Experience supporting data science teams in model building and validation * Client facing or consulting experience and comfort with presenting results to stakeholders #LI-NK1 #LI-REMOTE CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. What you'll do: * Design and implement comprehensive evaluation strategies for AI models, including both offline and online (production) settings. * Conduct statistical analyses and hypothesis testing to assess model accuracy, precision, recall, F1 score, ROC-AUC, and other relevant performance metrics. * Collaborate with clinical data labeling teams, ML engineers and data scientists to define validation datasets, ground truth standards, and performance benchmarks. * Analyze model outputs to identify strengths, weaknesses, and potential biases, and provide actionable recommendations for improvement. * Develop and maintain metrics, dashboards, and reports to monitor model performance, drift, and stability over time. * Communicate findings and recommendations to technical and non-technical stakeholders through clear visualizations and presentations. * Develop and maintain documentation and metrics for data quality, profiling results, and value assessments to support transparency and continuous improvement. Qualifications: * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. * 4+ years of experience in data science or machine learning, with a focus on model evaluation and validation. * Strong command of statistical analysis and hypothesis testing. * Proficiency in Python and/or R, with experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. * Familiarity with model monitoring tools and MLOps platforms is a plus. * Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate model performance is a plus. * Excellent problem-solving skills and attention to detail. * Strong communication skills, with the ability to explain complex technical concepts to diverse audiences. * Experience working in a collaborative, cross-functional team environment. CHI: $100,000-$160,000 USD NYC/SF: $115,000-$175,000 USD The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. About this position We are looking for a highly motivated scientist passionate about precision medicine, with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets. In this role, you will collaborate with an interdisciplinary team to develop and refine best practices for integrating and analyzing Tempus' comprehensive multi-modal data-including genomics, transcriptomics, digital pathology, and longitudinal clinical records. You will play a key role in evolving the Tempus Data Model to maximize the value of these diverse data types, and lead impactful research studies that leverage this unique dataset to address critical questions in cancer and other human diseases. Your work will directly enhance Tempus' research capabilities and empower our teams and partners to generate actionable insights for patient care. Responsibilities * Lead and contribute to translational research projects leveraging large-scale real-world clinical and multi-omic molecular data. * Collaborate closely with computational scientists, engineers, and data production teams to design, validate, and refine data models and analytical workflows for research use. * Evaluate and integrate omic data sets within the Tempus data platform. * Define and document best practices for scientific use of Tempus data, ensuring analytical rigor and reproducibility. * Communicate complex bioinformatics methods, analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise. Required Qualifications: * 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis * Demonstrated track record of peer-reviewed publications in cancer or translational research using large-scale, multi-omic datasets. * Strong experience analyzing real-world clinical data and linking it with molecular datasets. * Advanced SQL skills and hands-on experience working with large, complex relational databases and data models. * Thrive in a fast-paced environment and willing to shift priorities seamlessly Preferred Qualifications * Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes. * Expertise in multi-omic analyses, including single-cell and/or spatial platforms. * Proficiency in Python and/or R for scientific data analysis and visualization. * Familiarity with CLIA/CAP validation frameworks and translating scientific analyses into production or clinical-facing contexts. * Experience with modern research computing and engineering practices (e.g., Git-based workflows, Docker, cloud computing, code review). CHI: $100,000-$160,000 NYC/SF: $115,000-$165,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.