Manager, Statistics (Oncology)
BioSpace, Boston, MA, United States
Objectives
Takeda is a global, values-based, R&D-driven, top 15 biopharmaceutical leader committed to discovering and delivering life-transforming treatments, guided by our commitment to patients, our people and the planet.
Job Description
Our Data and Quantitative Sciences group (DQS) is made up of more than 500 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from quantitative clinical pharmacology, statistics, programming, outcomes research and epidemiology, patient safety & pharmacovigilance) bring their expertise to our global program teams and reimagine our disciplines. They work with novel data streams, including real‑world data and digital tools, and apply advanced analytics including artificial intelligence and automation.
As part of DQS, the Statistics and Quantitative Sciences (SQS) at Takeda is looking to add individuals to our team that are team‑oriented, collaborative, have a strong understanding of the statistics function, and are exceptional leaders and innovators. SQS aspires to bring safe and effective medications to patients with our quantitative skills. We design efficient trials, contribute to clinical development strategies, perform high‑quality statistical analyses, and pursue operational excellence.
About The Role
A Manager in Statistics is expected to:
Own assigned tasks to enable delivery, identify the need for, and actively seek input from others on delivery challenges
Engage cross‑functionally and with vendors to progress delivery by influencing
Lead activities within parts of project delivery including studies or submissions, or exploratory work related to clinical, preclinical, or translational drug R&D
Establish internal and external presence on delivery risks
Introduce delivery mitigations
Core Elements Related to this Role
Knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics.
Knowledge of the pharmaceutical industry, including understanding of the clinical drug development process and associated documents.
Knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions.
Good knowledge of statistical programming languages (including SAS), software, techniques, and processes. Working knowledge of UNIX operating systems and common software products and technologies used in conjunction with SAS (e.g., Microsoft Office products).
Excellent oral and written communication skills
The Manager In Statistics Needs To
Have ability to identify appropriate methods for standard and common scenarios
Have experience in a multidisciplinary environment applying methods
Be able to introduce new method ideas and improve existing analysis and methods
Own assigned tasks, identify the need for and actively seek input from others
Engage cross‑functionally to progress tasks by influencing
Lead activities and parts of projects including studies or submissions, or exploratory work related to clinical, preclinical, or translational drug R&D
Education
PhD in statistical or quantitative field
MS with ~3+ years experience in statistical or quantitative field
Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and strive to be more transparent with our pay practices.
Location: Boston, MA
U.S. Base Salary Range: $116,000.00 - $182,270.00 (actual base salary may vary depending on qualifications, experience, skills, education, certifications, and other factors. Salary offered will be in accordance with state or local minimum wage requirements for the job location.)
U.S. based employees may be eligible for short‑term and/or long‑term incentives. Employees may also participate in medical, dental, vision insurance, a 401(k) plan and company match, short‑term and long‑term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well‑being benefits, among others. Employees may receive, per calendar year, up to 80 hours of sick time (new hires accrue up to 120 hours of paid vacation).
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations: Boston, MA
Worker Type: Employee
Worker Sub-Type: Regular
Time Type: Full time
Job Exempt: Yes
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Takeda is a global, values-based, R&D-driven, top 15 biopharmaceutical leader committed to discovering and delivering life-transforming treatments, guided by our commitment to patients, our people and the planet.
Job Description
Our Data and Quantitative Sciences group (DQS) is made up of more than 500 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from quantitative clinical pharmacology, statistics, programming, outcomes research and epidemiology, patient safety & pharmacovigilance) bring their expertise to our global program teams and reimagine our disciplines. They work with novel data streams, including real‑world data and digital tools, and apply advanced analytics including artificial intelligence and automation.
As part of DQS, the Statistics and Quantitative Sciences (SQS) at Takeda is looking to add individuals to our team that are team‑oriented, collaborative, have a strong understanding of the statistics function, and are exceptional leaders and innovators. SQS aspires to bring safe and effective medications to patients with our quantitative skills. We design efficient trials, contribute to clinical development strategies, perform high‑quality statistical analyses, and pursue operational excellence.
About The Role
A Manager in Statistics is expected to:
Own assigned tasks to enable delivery, identify the need for, and actively seek input from others on delivery challenges
Engage cross‑functionally and with vendors to progress delivery by influencing
Lead activities within parts of project delivery including studies or submissions, or exploratory work related to clinical, preclinical, or translational drug R&D
Establish internal and external presence on delivery risks
Introduce delivery mitigations
Core Elements Related to this Role
Knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics.
Knowledge of the pharmaceutical industry, including understanding of the clinical drug development process and associated documents.
Knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions.
Good knowledge of statistical programming languages (including SAS), software, techniques, and processes. Working knowledge of UNIX operating systems and common software products and technologies used in conjunction with SAS (e.g., Microsoft Office products).
Excellent oral and written communication skills
The Manager In Statistics Needs To
Have ability to identify appropriate methods for standard and common scenarios
Have experience in a multidisciplinary environment applying methods
Be able to introduce new method ideas and improve existing analysis and methods
Own assigned tasks, identify the need for and actively seek input from others
Engage cross‑functionally to progress tasks by influencing
Lead activities and parts of projects including studies or submissions, or exploratory work related to clinical, preclinical, or translational drug R&D
Education
PhD in statistical or quantitative field
MS with ~3+ years experience in statistical or quantitative field
Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and strive to be more transparent with our pay practices.
Location: Boston, MA
U.S. Base Salary Range: $116,000.00 - $182,270.00 (actual base salary may vary depending on qualifications, experience, skills, education, certifications, and other factors. Salary offered will be in accordance with state or local minimum wage requirements for the job location.)
U.S. based employees may be eligible for short‑term and/or long‑term incentives. Employees may also participate in medical, dental, vision insurance, a 401(k) plan and company match, short‑term and long‑term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well‑being benefits, among others. Employees may receive, per calendar year, up to 80 hours of sick time (new hires accrue up to 120 hours of paid vacation).
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Locations: Boston, MA
Worker Type: Employee
Worker Sub-Type: Regular
Time Type: Full time
Job Exempt: Yes
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