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Keros Therapeutics is a public, clinical-stage biopharmaceutical company focused on the discovery, development, and commercialization of novel treatments for patients suffering from hematological and musculoskeletal disorders with high unmet medical need. We are a leader in understanding the role of the transforming growth factor-beta, or TGF-, family of proteins, which are master regulators of red blood cell and platelet production as well as of the growth, repair and maintenance of muscle and bone. We have leveraged this understanding and developed a discovery approach to generate large and small molecules to address diseases of these tissues. Targeting TGF- signaling pathways has been clinically proven to elicit robust changes in blood cells, muscle, and bone, which we believe provides a precedent and strong rationale for our strategy.
This person will be working closely with their biometric and cross functional team as the lead statistical programmer responsible at the study level for one of the clinical programs at Keros Therapeutics. This person will work closely with their statisticians, data managers, and clinical team for timely deliveries with quality. The ideal candidate is a good communicator, collaborative, self-motivated, and forward thinking.
Responsibilities:
- Implementing statistical analyses using SAS and performing quality review of SAS programs and deliverables for in-house analyses as well as out-sourced programming deliverables
- Build SAS datasets from clinical databases, external data sources, and other data sources, utilizing SDTM and ADaM guidelines.
- Produce and/or validate tables, listings, figures, and analysis datasets in response to regulatory request, publication, and ad-hoc analyses for decision-making and insights generation
- Ensure the accuracy and completeness of programming outputs and adhere to project timeline
- Collaborate closely with cross-functional team to effectively address their needs under the time and resource constraints
- Collaborate with data managers and biostatisticians on data flow and data quality
- Demonstrate ability to effectively organize and manage multiple assignments
- Contributing to improvement in workflow and tool development to enhance processes and capabilities in the programming team.
- Participate in the development and/or review of study related documents
- Ability to work effectively in a fast-paced, collaborative team environment.
Attributes:
- Ability to evaluate the specific needs of the team, have strong problem-solving skills and detail oriented to identify and resolve issues that arise during the data analysis
- Strong communication skills to be able to communicate effectively with key stakeholders in the clinical team and strong project management skills with biostatistical vendors
- Ability to promote collaboration and enhance a culture of trust and respect
Qualifications
- Bachelor's degree or higher in statistics, computer science, biology or a related field
- 5+ years of experience in statistical programming in the Biotech, Pharma, Clinical Research Organizations
- CDISC experience
- Strong knowledge of SAS programming language and experience with SAS macros, procedures, and figures.
- Excellent communication and interpersonal skills
- Experience working with CROs and vendors
- Knowledge of other programming languages such as R, Python etc. is a plus
Our Diversity, Equity & Inclusion Mission Statement: Keros is an inclusive company. We believe that diversity drives innovation. We continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. As such, Keros takes a holistic approach in mentoring, coaching, and developing all of our Keros team members.
Keros Therapeutics is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.