Job Title: Study Lead Statistician - Product Facing Location: Remote Duration: 1 year
Fully remote - standard business hours
The Study Lead Statistician (SLS) for product facing work is responsible for leading statistical activities of clinical studies. The SLS works closely with cross-functional team members to ensure their clinical studies are appropriately planned, have the required statistical power for success, comply with regulatory requirements and client standards, and maintain statistical, as well as operational, integrity throughout the life of the study.
The SLS works closely with the Global Statistical Lead to ensure their study aligns with the overall product strategy. The SLS also works closely with the Study Statistician, who performs all the operational activities related to the statistics-related deliverables. The SLS is responsible for the integrity and quality of their study. The SLS also supports product level activities that could include regulatory activities as well as publication work. Core responsibilities: Provide statistical guidance, review, and contribution to protocols, SAPs; TFL shells; DMC Charters; SDF specifications (SDTM and ADaM); randomization specifications; other key-study related documentation, protocol deviations, data quality review, and other communications. Attend and be a contributor at Clinical Study Team Meetings. Attend meetings for and provide statistical input into cross-functional study start-up activities, including but not limited to CRF development, database specifications review, database development, IVRS specification review. Initiate cross-functional team meetings as necessary (e.g., SAP review, TFL shell review, TFL review). Provide statistical guidance, review, and be responsible for statistical analysis of individual studies/projects. Perform and document QC of primary and key secondary endpoints within ADaM datasets as well as the statistical analyses of these endpoints (programmatically). Perform data-driven modeling during clinical studies. Coordinate the creation of required outputs for Dose Level Review Meetings (DLRMs) as well as coordinate and participate in the DLRM. Review TFLs created by statistical programming for consistency and accuracy. Author analysis reports such as Flash Memo, and results section of the CSRs. Collaborate with the study programming team for study deliverables. Manage timelines for all statistics-related deliverables by working with the cross-functional team members (e.g., programmers, study statisticians, clinical data managers, medical writers). Be familiar with all client policies, SOPs and other controlled documents related to study activities noted above. Assist with study and systems audits conducted by client and external bodies.
Day to Day Responsibilities: Working closely with 1) cross-functional team members to ensure their clinical studies are appropriately planned, have the required statistical power for success, comply with regulatory requirements and client standards, and maintain statistical, as well as operational, integrity throughout the life of the study; 2) the Global Statistical Lead to ensure their study aligns with the overall product strategy; 3) the Study Statistician, who performs all the operational activities related to the statistics-related deliverables. Responsible for the integrity and quality of their study as well as supporting product level activities that could include regulatory activities as well as publication work. Basic Qualification: Master’s degree in Statistics/Biostatistics or other subject with high statistical content with at least 4 years of post-graduate statistical experience in the pharmaceutical industry or medical research (or PhD degree with at least 3 years experience). Strong skill in communicating statistical information clearly and concisely (written and oral). Strong understanding of statistical concepts related to the design and conduct of clinical studies. Strong ability to apply statistical methodologies in the analysis of clinical trials. Independent leadership of the design, analysis and reporting of at least 1 complex or multiple less complex studies/projects within the pharmaceutical/biotechnology/public health setting in industry, government or academia. Previous experience in the development, author, and execution of protocols and SAPs, as well as review of CSRs. Excellent oral and written English communication skills. Strong SAS and/or R programming skills in conducting simulations and applying statistical concepts and methods based on complex study designs. Top 3 Must Have Skills: 1. At least 3-4 years experience as lead statistician on clinical trials a sponsor company (SRO work is similar and good but need some exposure sponsor company background) 2. Must have a few years of experience with a sponsor 3. Strong SAS and/or R programming skills 4. Excellent written and oral communication skills 5. Must be independent worker. Be able to get a task and follow through relying on their experience
Preferred Qualifications: Master’s degree in Statistics/Biostatistics or other subject with high statistical content and at least 6 years of post-graduate statistical experience in the pharmaceutical industry or medical research (or PhD degree with 5 years experience). Demonstrated ability in presenting results and defending statistical findings, study design and analysis to internal audiences (study/product team) and at external meetings such as investigator meetings, steering committee meetings, ad board meetings or regulatory meetings. Leadership of at least 3 clinical studies/projects end-to-end with minimal oversight. Life cycle drug development experience (pre-clinical development, clinical development, and post-marketing). Demonstrated ability to work in cross-functional teams ideally including projects focused on delivering business solutions, working with clinical development colleagues in study management, programming and IS. Demonstrated ability to influence decision making. Experience in adaptive clinical trials and innovative study designs. Experience in the utilization of Bayesian statistics in clinical trials. Proficient R programming skills conducting simulations and applying statistical concepts and methods based on complex study designs. Possible Extension: Yes Red Flags: Lack of experience working on clinical trials at a sponsor company Worker should have some flexibility - worker will work with other countries so may be cases where need to take a meeting outside of standard hrs Interview Process: Virtual interview with hiring manager, potentially followed by other virtual interviews with a small panel. Available to start interviews in September/October.
About Us: Established in 2004, SPECTRAFORCE® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act (“CPRA”) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting NAHR@spectraforce.com.
LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $86.33/hr.
