Senior Clinical Biostatistician (m/f/d)
Freseniusglobal (Linkedin) Open At a glance
Senior Data Science role at Freseniusglobal (Linkedin). Bad Homburg · full-time · no salary stated · we estimate €78,950–€105,000 across Germany.
Freseniusglobal (Linkedin) has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Set and assess statistical approaches for studies from early development through phase IV, including non-interventional and Real-World Evidence work
- Help clinical teams choose study designs, endpoints and sample sizes, discuss protocols, and make sense of results
- Draft and challenge analysis plans and methodological proposals for scientific and regulatory soundness
- Keep CROs and external partners aligned on quality, timelines and study aims
- Turn statistical findings into recommendations and support reports, submissions, CRFs and data validation plans
What you bring
- A university qualification in biostatistics, statistics, mathematics or another quantitative discipline
- At least five years in pharma, biotech or a CRO, focused on clinical research and biostatistical methods
- Experience with study design, analysis plans, clinical data interpretation, regulatory expectations and CDISC, especially ADaM
- Required: strong SAS knowledge and fluent English, written and spoken
Who this fits
This senior role suits you if you want to shape study methods and guide clinical decisions rather than make statistical programming your main focus. You’ll explain statistical choices to non-statistical colleagues and collaborate across disciplines. The role is based in Bad Homburg, Germany.
From the employer
At Fresenius, we are committed to advancing healthcare through innovation, technology, and patient-centric solutions. In this role, you will join an experienced international team and contribute your biostatistical expertise to clinical and pre-clinical studies supported by Fresenius Kabi.
We are looking for someone who enjoys working collaboratively, brings a proactive and open mindset, and is motivated to further develop biostatistical approaches in a practical, solution-oriented way. The focus of this position is on biostatistical methodology, study design, interpretation, and cross-functional guidance rather than on statistical programming as a primary responsibility.
Your Responsibilities
Shape and review biostatistical strategies for pre-clinical and clinical studies across phases I–IV, including non-interventional and Real-World Evidence studies.
Act as a statistical expert and sparring partner for clinical development teams, contributing to study design, choice of endpoint, sample size calculations, protocol discussions, and interpretation of results.
Develop, review, and challenge Statistical Analysis Plans and methodological concepts to ensure scientifically sound and regulatory-relevant approaches.
Oversee and guide CROs and external partners to ensure high-quality biostatistical deliverables, clear timelines, and alignment with study objectives.
Translate statistical analyses and key outputs into clear recommendations for clinical, regulatory, medical writing, data management, and other cross-functional stakeholders.
Contribute to clinical study reports, integrated summaries, and submission-related documents from a biostatistical perspective.
Provide biostatistical input to CRFs, edit check specifications, data validation plans, and standards for statistical outputs.
Explore innovative and AI-supported approaches that can improve efficiency, quality, and practical decision-making in clinical studies.
Your Qualifications
University degree in biostatistics, statistics, mathematics, or a comparable quantitative discipline.
At least 5 years of relevant experience in the pharmaceutical, biotechnology, or CRO environment, with a strong focus on clinical research and biostatistical methodology.
Solid experience in clinical study design, Statistical Analysis Plans, statistical analyses, and interpretation of clinical study results.
Strong understanding of regulatory expectations and CDISC requirements for submissions, particularly ADaM.
Excellent SAS knowledge is required; experience with R is an advantage.
Knowledge of Real-World Evidence methodology is highly welcome; experience with PK/PD studies, bioequivalence studies, or adaptive designs is a plus.
Strong communication skills and the ability to explain statistical concepts, methodological choices, and the impact of decisions to non-statistical stakeholders.
Open, curious, and proactive mindset with the motivation to bring in new ideas, explore practical solutions, and collaborate across disciplines.
Fluency in English, both written and spoken.
Ready to make an impact?
If you want to use your biostatistical expertise to shape clinical development decisions, bring fresh perspectives into an international team, and contribute to healthcare solutions that matter, we look forward to receiving your application.
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