Data Scientist

TFS HealthScience

  • London
  • Permanent
  • Full-time
  • 12 days ago
TFS HealthScience and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics purposes.See our to read more about the cookies we set.You can withdraw and manage your consent at any time, by clicking “Manage cookies” at the bottom of each website page.common--cookies--alert#acceptAll">Accept all cookies common--cookies--alert#disableAll">Decline all non-necessary cookies common--cookies--alert#openPreferences">Cookie preferences common--cookies--preferences#open" class="bg-company-primary text-company-primary shadow-form inset-x-4 mb-4 rounded max-w-screen-sm p-4 overflow-auto max-h-[80vh] z-cookie-alert backdrop:bg-[rgba(0,0,0,0.6)] sm:p-10 sm:mb-auto fixed top-2">Select which cookies you acceptOn this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly.If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link “Manage Cookies”, that is always available at the bottom of the site.To learn more about what the different types of cookies do, how your data is used when they are set etc, see our .Strictly necessaryThese cookies are necessary to make the site work properly, and are always set when you visit the site. Vendors Teamtailorcommon--cookies--preferences#handleCategoryToggle">AnalyticsThese cookies collect information to help us understand how the site is being used. Vendors Teamtailorcommon--cookies--preferences#handleAccept">Accept these cookies common--cookies--preferences#handleDecline">Decline all non-necessary cookiescommon--header--menu#toggle" data-common--header--menu-target="button" > Career menuEmployee Candidate Homepagecommon--dropdown#toggle">common--share#handleClick" data-provider="Facebook"> Facebook common--share#handleClick" data-provider="Twitter"> X common--share#handleClick" data-provider="LinkedIn"> LinkedIn*SRS Mid Europe* · London · HybridData Scientistcareersite--jobs--form-overlay#showFormOverlay" data-careersite--jobs--form-overlay-target="coverButton"> ApplyWe usually respond within a weekTFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise includes full service capabilities, resourcing and Functional Service (FSP) solutions.About this roleAs part of our SRS/FSP team, you will be dedicated to one sponsor, a global pharmaceutical company.In this role, you will work closely with the sponsor's Real World Evidence and Observational Research team to design and implement advanced analyses of healthcare data. The focus will be on the Respiratory therapeutic area, particularly COPD, with the aim of generating insights that guide strategic decisions and improve patient outcomes.Key ResponsibilitiesDeliver and implement advanced secondary analyses of EMR and claims data to support epidemiological observational studies.Provide expert technical input, options, and recommendations on study design, data partner selection, and best practices in Real World Data (RWD) utilization.Collaborate with internal and sponsor teams to evaluate strengths and weaknesses of external RWD sources for respiratory studies.Develop, validate, and document analytical methods and models using SQL, R, and/or Python.Contribute to study reports, publications, and scientific presentations by producing high-quality statistical analyses and visualizations.QualificationsKey Responsibilities
  • Deliver and implement advanced secondary analyses of EMR and claims data to support epidemiological observational studies.
  • Provide expert technical input, options, and recommendations on study design, data partner selection, and best practices in Real World Data (RWD) utilization.
  • Collaborate with internal and sponsor teams to evaluate strengths and weaknesses of external RWD sources for respiratory studies.
  • Develop, validate, and document analytical methods and models using SQL, R, and/or Python.
  • Contribute to study reports, publications, and scientific presentations by producing high-quality statistical analyses and visualizations.
QualificationsRequired
  • Master's degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline.
  • Demonstrated experience working with large datasets, preferably healthcare data.
  • Proficiency in SQL.
  • Strong programming skills in R and/or Python.
Nice to have
  • Hands-on experience with EMR/health data, disease registries, and/or insurance claims databases (US or UK).
  • Knowledge of clinical data standards, medical terminologies, and controlled vocabularies (ICD9/10, SNOMED).
  • Familiarity with OMOP Common Data Model and OMOP tools.
  • Previous experience conducting analyses for COPD.
What We OfferWe provide a competitive compensation package, comprehensive benefits, and the opportunity for personal and professional growth in a rewarding environment. You'll be joining a team that values collaboration, innovation, and making a difference in the lives of patients.A Bit More About UsOur journey began over 25 years ago in Sweden, in the city of Lund. As a global CRO with the ultimate goal of ensuring patients' safety and well-being, we provide biotechnology and pharmaceutical companies with tailored clinical development solutions. We currently operate in 17 countries across Europe, North America, Asia Pacific, and the Middle East.Our core values of Trust, Quality, Flexibility, and Passion are what make TFS HealthScience the successful company it is today. Our values shape our culture and work ethic. They reflect what we stand for and guide our organization.#Together we make a differenceDepartment *SRS Mid Europe* Locations London Remote status Hybrid Employment type Full-time REQ ID - Work Arragement RemoteLondoncareersite--jobs--form-overlay#showFormOverlay">Apply jobs--overlay#closeOverlay">*SRS Mid Europe* · London · HybridData ScientistLoading application formCareer site
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