The Opportunity:

Playing a critical role as a filing and program lead statistician for clinical Late-Stage program(s) and the subject matter expert (SME) in Biostatistics within Quantitative Sciences function, this position is to serve as a program level lead statistician and provide statistical leadership and support for clinical development strategy and programs through product life cycle.

• Lead strategic, statistical thinking and contributions to clinical development plans.

• Represent Biostatistics function on cross-function teams at program level and serve as a lead statistician for oncology studies.

• Collaborate with various functions on study design and planning, protocol development, statistical analysis plan and analysis specifications.

• Provide statistical support for study protocol development, analysis plan and specification through direct involvement and/or providing guidance to junior staff.

• Plan and prepare independent data monitoring committee (DMC), coordinate with independent statistical data analysis center for DMC and study team for periodic DMC reviews.

• Collaborate with data management and clinical operations over the course of clinical studies to provide statistical input to study conducts and database development as well as data collection and cleaning activities.

• Collaborate with statistical programming to ensure that appropriate programs and documentations are being developed for datasets development and outputs generation, and ensure the statistical analyses specified in scientific protocols and/or analysis plans are conducted appropriately.

• Provide statistical input and leadership to the development of global health authority documents, regulatory interaction and response to health authority submissions.

• Provide statistical support for clinical publications, assist in data interpretation to ensure consistency and accuracy in data presentation.

• Drive and lead department initiatives, best practices, and guidelines.

• Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, minimum 10 years (for Ph.D.) and 14 years (for M.S.) of experience in biotech/pharma industry as a statistician. Level will be determined based on the relevance of experience.

• Extensive experience in design and conduct of phase 3 oncology trials.

• Solid knowledge in ICH and other regulatory requirements related to biostatistical activities and clinical trials.

• Excellent verbal and written communication skills are required.

• Good interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Experience with lead role in NDA/BLA filing desirable.

#LI-Hybrid  #LI-SH1

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

• Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

• Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

• Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

• Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

• Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

• Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

• Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

• Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician.

• Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

• Hands-on experience in exploratory analysis of oncology trials.

• Ability to work independently and within a team.

• Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

• Familiar with regulatory requirements related to biostatistical activities and clinical trials.

• Strong verbal and written communication skills are required.

• Strong interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

• Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

  #LI-Hybrid  #LI-SH1

The Opportunity:

Playing a critical role as a lead statistician for clinical program(s) and studies and the subject matter expert (SME) in Biostatistics within Quantitative Sciences function, this position is to provide statistical leadership and support for clinical development strategy and clinical studies through product life cycle. 

• Provide statistical support and strategic input to clinical development plans and target product profiles, proof of concept criteria, and team’s preparation for company governance reviews.

• Represent Biostatistics function on cross-function teams at program level and serve as a lead statistician for oncology studies

• Collaborate with various functions on study design and planning, protocol development, statistical analysis plan and analysis specifications.

• Provide statistical support for study protocol development, analysis plan and specification through direct involvement and/or providing guidance to junior staff.

• Plan and prepare independent data monitoring committee (DMC), coordinate with independent statistical data analysis center for DMC and study team for periodic DMC reviews.

• Collaborate with data management and clinical operations over the course of clinical studies to provide statistical input to study conducts and database development as well as data collection and cleaning activities.

• Collaborate with statistical programming to ensure that appropriate programs and documentations are being developed for datasets development and outputs generation, and ensure the statistical analyses specified in scientific protocols and/or analysis plans are conducted appropriately.

• Provide statistical input and leadership to the development of global health authority documents, regulatory interaction and response to health authority submissions.

• Provide statistical support for clinical publications, assist in data interpretation to ensure consistency and accuracy in data presentation.

• Drive and lead department initiatives, best practices, and guidelines.

• Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.

Required Skills, Experience and Education:

• D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in the biotech/pharma industry as a statistician. Level will be determined based on the relevance of experience.

• Hands-on experience in design and analysis of oncology trials is a must.

• Ability to work independently and within a team.

• Solid knowledge in ICH and other regulatory requirements related to biostatistical activities and clinical trials.

• Excellent verbal and written communication skills are required.

• Good interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Active participation in NDA/BLA filing through label negotiations desirable. #LI-Hybrid  #LI-SH1

The Opportunity:

We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.

• Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

• Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.

• Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.

• Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

• Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.

• Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.

• Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.

• Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

• Hands-on experience in exploratory analysis of oncology trials.

• Proven ability to independently lead statistical aspects of complex, cross-functional projects.

• Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.

• Excellent verbal and written communication skills are required.

• Excellent interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

• Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

  #LI-Hybrid  #LI-SH1

The Opportunity:

Playing a critical role as a lead statistician for clinical Late-Stage program(s) and the subject matter expert (SME) in Biostatistics within Quantitative Sciences function, this position is to serve as a program level lead statistician and provide statistical leadership and support for clinical development strategy and programs through product life cycle.

• Lead strategic, statistical thinking and contributions to clinical development plans.

• Represent Biostatistics function on cross-function teams at program level and serve as a lead statistician for oncology studies.

• Collaborate with various functions on study design and planning, protocol development, statistical analysis plan and analysis specifications.

• Provide statistical support for study protocol development, analysis plan and specification through direct involvement and/or providing guidance to junior staff.

• Plan and prepare independent data monitoring committee (DMC), coordinate with independent statistical data analysis center for DMC and study team for periodic DMC reviews.

• Collaborate with data management and clinical operations over the course of clinical studies to provide statistical input to study conducts and database development as well as data collection and cleaning activities.

• Collaborate with statistical programming to ensure that appropriate programs and documentations are being developed for datasets development and outputs generation, and ensure the statistical analyses specified in scientific protocols and/or analysis plans are conducted appropriately.

• Provide statistical input and leadership to the development of global health authority documents, regulatory interaction and response to health authority submissions.

• Provide statistical support for clinical publications, assist in data interpretation to ensure consistency and accuracy in data presentation.

• Drive and lead department initiatives, best practices, and guidelines.

• Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, minimum 10 years (for Ph.D.) and 14 years (for M.S.) of experience in biotech/pharma industry as a statistician. Level will be determined based on the relevance of experience.

• Extensive experience in design and conduct of phase 3 oncology trials.

• Solid knowledge in ICH and other regulatory requirements related to biostatistical activities and clinical trials.

• Excellent verbal and written communication skills are required.

• Good interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Experience with lead role in NDA/BLA filing desirable. 

  #LI-Hybrid  #LI-SH1

The Opportunity:

This position is to serve as a study level statistician for oncology studies, and to coordinate activities with other functional groups to ensure timely deliverables. 

• Represent biostatistics on study/project teams.

• Provide statistical expertise for design, analysis and reporting of clinical studies.

• Collaborate with various functions on study design and planning, protocol development, statistical methodology and analysis.

• Develop statistical analysis plans and analysis specifications.

• Collaborate with statistical programming to ensure that analysis is conducted per statistical plan and specifications.

• Collaborate with data management and clinical operations to ensure robust CRF and database development and quality data collection.

• Provide statistical input to regulatory interaction and response to health authority submissions.

• Collaborate in publications, assist in data interpretation, and ensure consistency and accuracy in data presentation.

• Contribute to the development of functional-level standards, SOPs, and templates.

• Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician for clinical trials. Level will be determined based on the relevance of experience.

• Hands-on experience in design and analysis of oncology trials is a must.

• Ability to work independently and within a team.

• Ability to apply statistical knowledge to solve real-world problems and acquire new knowledge in advanced statistical methods (e.g., Bayesian methods, predictive modeling etc.).

• Excellent verbal and written communication skills are required.

• Good interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

#LI-Hybrid #LI-EM1

RDQ427R169

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors.

Our vision is simple: data drives every Databricks decision and action. To get there, we need a world-class statistician and communicator — someone who can bridge the gap between deep analytical rigor and executive decision-making. This is a pure IC role with company-wide influence: no direct reports, maximum leverage.

Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, and MLflow. We built the Databricks Data Intelligence Platform to help organizations unify their data, analytics, and AI workloads. With more than 10,000 organizations worldwide — including over half of the Fortune 500 — relying on Databricks, and a team of 7,000+ employees, we are at the forefront of the data and AI revolution. We have been recognized as a leader by Gartner, Forrester, and IDC, and have raised more than $4 billion in funding at a $62 billion valuation.

The Impact You Will Have

• Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors — ensuring data science insights directly inform the company's most critical decisions.
• Statistical authority. Serve as the company's chief statistical voice and the final quality backstop for analytical rigor in high-stakes executive decisions. Advance the state-of-the-art in how Databricks applies statistical methods to business problems.
• Org-wide uplevel. Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling their story.
• Strategic insights. Produce deep strategic analyses on revenue, platform health, operational efficiency, and competitive positioning — the kind of synthesized, judgment-rich insight that AI cannot autonomously create.
• Cross-functional influence. Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision-making culture across the company. Be the trusted analytical advisor in rooms where critical decisions are made.
• External thought leadership. Represent Databricks externally as a data science thought leader at industry conferences, in publications, and in the broader statistical community. Build an external identity that attracts world-class talent.
• Methodology and standards. Define and evolve company-wide scientific methodologies — experimentation frameworks, forecasting systems, causal inference approaches — to match and push industry state-of-the-art.

What We Look For

Required

• 15+ years of experience in data science, statistics, or quantitative research spanning industry and/or academia.
• Proven track record of presenting statistical and data science concepts to C-suite and Board-level audiences, with measurable impact on executive decision-making.
• Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning.
• Exceptional written and verbal communication — the ability to make complex statistical concepts intuitive and compelling for non-technical executives.
• Track record of upleveling teams: setting analytical standards, mentoring senior data scientists, and improving org-wide output quality.
• Experience at the intersection of statistics and large-scale technology or data platforms.
• Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.

Preferred

• Academic research or teaching background in statistics or a quantitative field.
• Industry experience at multiple tier-1 technology companies.
• Published research or recognized thought leadership in applied statistics.
• Experience building or leading a "Chief Statistician" or equivalent function.
• Experience in infrastructure, platform, or systems-oriented data science.

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with organizations that have a social mission and help them tackle their problems using analytics. Our role in these partnerships goes end to end—we handle everything from wrangling the data to analyzing the problem to turning the results into something actionable. We know that this analytics pipeline does not live in a vacuum. Getting to meaningful numbers requires more than just the right methods; it calls for understanding the people, policies, data, and systems involved. 

With this approach, our small but fast-growing team is having a big impact taking on challenges in healthcare program integrity – safeguarding programs like Medicare and Medicaid by preventing fraud, waste, and abuse. We are growing our team with people who enjoy figuring out hard problems, want their work to matter, and set a high bar for themselves and their teammates.

About the Role: For this role, we are looking for someone to serve as a technical lead on statistical projects analyzing healthcare programs. This position is responsible for translating high-level direction from management or clients into studies/analyses that leverage statistically robust methods. We are looking for you to:

• Operationalize research questions from management and clients into robust analytic frameworks, research activities, and deliverables with minimal direction
• Apply a broad set of statistical methods to analyze and interpret data, including survey data, health records, and other administrative data
• Prepare research for dissemination to a variety of technical and non-technical audiences; produce materials (e.g., reports, presentations) that summarize the data and methodology, interpret analytic findings, and provide conclusions and recommendations
• Support project teams internally by providing input on study design and application of statistical methods
• Support development of data analysts through technical mentoring, code review, trainings, and other assistance
• Continue growing subject matter expertise by staying up-to-date on the latest statistical techniques and applications; contribute to the development of the company’s institutional knowledge
• Engage with stakeholders to understand client needs/priorities, business processes, program policy, data, etc. 

Required Qualifications: We are looking for you to have the following qualifications:

• Education: M.S. or Ph.D. in statistics or related field
• Experience: 2+ years applied research experience with statistical sampling and applying statistical models
• Technical Expertise: Strong familiarity with statistical sampling, probability, regression modeling, and practical applications
• Programming: Experience performing analyses using Python, R, or SQL 
• Communication: Ability to write clearly and communicate effectively with technical and non-technical audiences
• Interests: Strong interest in social science research
• Working Style: Capable of working with minimal supervision and a high level of initiative; practical approach to problem-solving; comfortable working both independently and collaboratively on client-facing projects 

Desired Qualifications: If you do not meet all the criteria below but still think you would be a good fit for this role, please apply so we can see if we can find the right spot for you on the team.

• Experience: Strong track record of research excellence in a professional setting (experience in consulting preferred)
• Technical Expertise: Familiarity with artificial intelligence and machine learning methods, tools, and practical applications a plus
• Domain Expertise: Knowledge of healthcare data, policy, and program integrity efforts strongly preferred (e.g., Medicare policy, CMS data)

This position is full-time onsite in San Francisco. Working side by side accelerates learning, mentorship, and the kind of collaboration that leads to producing our best work. Additionally, to be considered for this position, applicants must have the ability to work in the U.S. without a need for current or future visa sponsorship. Staff will be required to complete a successful background investigation, including the Questionnaire for Public Trust Position SF-85.Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for employment.