Principal Data Scientist - RWE/RWD

Phastar is a multiple award-winning global biometric Contract Research Organization (CRO) that is accredited as an outstanding company to work for by Best Companies. We partner with pharmaceutical, biotechnology and medical device organizations to provide the expertise and processes to manage and deliver on time, quality biostatistics, programming, data management and data science services. With offices across the UK, US, Germany, Denmark, Kenya, Australia, India, China and Japan, Phastar is the second largest specialized biometrics provider globally, and the largest in the UK.

Our unique approach to data analysis, The Phastar Discipline, has led us to build a reputation for outstanding quality. With this as our core focus, were looking for talented individuals who share our passion for quality and technical expertise to join our team.

WHY PHASTAR

Accredited as an outstanding company to work for, Phastar is committed to employee engagement, workplace satisfaction and ensuring a healthy work-life balance. We offer flexible working, part-time hours, involvement in developing company-wide initiatives, structured training and development plans, and a truly supportive, fun and friendly environment.

Whats more, when you join our team, Phastar will plant a tree in your honour, as one of our Environmental, Social and Governance (ESG) initiatives. So, not only would you get your dream job, youll also be helping to save the planet!

Responsibilities

• Deliver cutting-edge statistical input and Real World Data (RWD) analyses

• Drive clinical development, regulatory compliance, and pharmacovigilance initiatives.

• Architecting, designing, and scaling data analytics solutions, predictive modeling, data science, mining, visualization, and implementing algorithms.

• Instrumental in writing statistical sections of study protocols, collaborating closely with study teams, and effectively communicating results to relevant stakeholders.

• Articulate, refine, and defend data analytics standards

• Apply advanced analytics techniques.

• Demonstrable experience in writing and implementing statistical analysis plans for studies required

• Demonstrable experience in processing large real-world datasets for analyses and studies required

• Provide invaluable RWD/RWE advice to both internal and external stakeholders.

Qualifications

• Background in health and life sciences (biostatistics, epidemiology), or quantitative data sciences
• Doctoral and/or masters degree (e.g., PhD, MSc) in Biostatistics, Epidemiology, Mathematics or related field
• Excellent oral and written communication skills and demonstrated ability to engage and communicate scientific evidence to peers
• Collaborative, proactive working style, with ability to work independently

Lifelancer ( https://lifelancer.com ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science and IT domains.

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