Data Science Industrial Placement - Multiple roles within Biostats, Data Management, Real-World Data and more in Welwyn

Data Science Industrial Placement - Multiple roles within Biostats, Data Management, Real-World Data and more in Welwyn

Welwyn Placement 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join Roche to analyse data and support drug development in various exciting roles.
  • Company: Roche, a leading biopharma company dedicated to improving healthcare.
  • Benefits: Competitive salary, career development opportunities, and a supportive work culture.
  • Other info: Dynamic environment with networking opportunities and a focus on personal growth.
  • Why this job: Make a real impact on patients' lives through innovative data science.
  • Qualifications: Pursuing a degree in relevant fields like Data Science or Life Sciences.

The predicted salary is between 72000 - 88000 £ per year.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Product Development Data Sciences and Analytics (PDD) department in Roche's Pharmaceutical Division focuses on three core areas: identifying evidence needed in bringing our drugs to market, making high-quality data accessible and generating insights through data analysis. This involves leveraging diverse datasets from clinical trials, real-world evidence and digital sources to understand patient pathways, disease progression and patient outcomes. Data science has become essential for extracting meaningful insights from the growing variety and complexity of data enabled by advances in digital technology. In biopharma, each data point represents part of a patient’s journey, contributing to the understanding of disease and the development of better medicines. Maximizing the potential of this data allows for groundbreaking analyses and insights.

The PDD Department in Welwyn Garden City is seeking 10 industrial placement students starting in July 2027 for 13 months to support the advancement of medicines. Successful candidates will be evaluated for one of multiple roles across the department, each requiring a diverse range of skills. For further information about all of the available roles please see further down in the ad. Candidates will be considered for all roles but please indicate in your cover letter your preferred roles.

Our UK Pharmaceutical head office, one of our primary global offices, is situated in Welwyn Garden City, Hertfordshire and is surrounded by beautiful countryside. Supported by major motorways and airports, as well as being a 25‑minute train ride to central London, access is easy. With over 1800 people occupying our site in Welwyn, you can expect interactions with Product Development (PD), Early Development (pRED), Commercial (Rx) and our corporate function. The extensive overlap and interaction with other functions means Roche provides an unmatched experience as well as ample networking opportunities.

Degree Requirements

You must be studying for an undergraduate or integrated masters degree, and be eligible to work in the UK. If you're passionate about making a difference in patients' lives and possess the teamwork and innovation we're looking for, Roche could be the perfect fit for you. In return, we provide a competitive salary and excellent benefits, including a genuine interest in your career development and progression.

Please note: Unfortunately visa sponsorship is not available for this role. Candidates must already hold valid authorisation to work in the UK.

Data Management

Data Management involves the collection, cleaning & storing of clinical trial data, utilizing a variety of industry and/or inhouse products and tools. Data Management safeguards data integrity, ensuring patient safety and the quality of data used to support decision‑making in drug development. We are offering positions in 3 areas within Data Management:

  • Role: Data Quality Lead

    DQLs oversee the quality, integrity, and availability of clinical trial data, ensuring it is fit for purpose and ready for analysis by our statisticians. Working with multiple functions, DQLs manage the design and implementation of the study database, and oversee data collection and data cleaning strategies. As a DQL, you will be a key member of the clinical study team, and your day to day work will be divided between data and people - solving novel data problems, but also learning to lead & influence others.

  • Role: Technical Excellence Specialist

    Technical Excellence acts as the key link between the clinical data management team and technical Informatics (IT) colleagues. Rather than working directly on clinical trials, the focus is on understanding user needs and helping to shape the tools, products, and processes that streamline daily work. This role involves listening to business challenges, gathering user feedback, and translating ideas into technical solutions.

  • Role: Functional Excellence Specialist

    Functional Excellence Specialists play a key role in helping our Data Management group improve how we manage clinical trial data by bridging the gap between new technology and the people who use it. This non-technical role focuses on change management, and making processes more efficient, consistent and scalable. You will gain hands‑on experience in knowledge management, and learn how to improve the quality and longevity of our tools, ensuring they effectively support our colleagues in their day to day work.

Analytical Data Sciences

Analytical Data Sciences mission is to ensure the timely, accurate, and compliant analysis of clinical trial data to support regulatory submissions, drive informed decision‑making and, with the integration of the latest tools and technologies, ultimately help bring safe and effective new therapies to patients. We are offering positions in 2 areas within Analytical Data Sciences:

  • Role: ADS (Analytical Data Scientist)

    Analytical Data Scientists (ADS) are responsible for providing analytical and programming expertise for the reporting and analysis of clinical trials and related submissions to Health Authorities worldwide. We work closely with other members of Data Sciences, in particular biostatistics and data management, to ensure quality and integrity of study data. We also collaborate with other functional experts to determine appropriate analysis of data for respective disease areas.

  • Role: DSX (Data Science Acceleration) Data Scientist

    The Data Science Acceleration (DSX) team is responsible for developing scalable data engineering and analytical tools, environments, and workflows that enable efficient, high-quality statistical computing across Product Development Data Sciences and Analytics (PDD). They focus on creating and maintaining next‑generation capabilities that support automation of programming workflows, generation of reusable coding macros, and advanced data visualization.

Biostatistics

As a trusted analytical partner in drug development, Biostatistics provides strategic leadership and drives data‑led decision making to bring safe, effective medicines to patients faster. We are responsible for designing robust clinical trials and analysis plans that safeguard data integrity, ensure regulatory compliance, and maximise the statistical success rate of our studies. Our team operates at the frontline of the industry by identifying opportunities to implement innovative statistical methods across the wider organization. We are offering 1 position within biostatistics:

  • Role: Biostatistician

    Statisticians use their statistical expertise to design, analyse and interpret the results of clinical trials. We are a key member of cross‑functional teams, working closely with both technical (data management, statistical programming) and non‑technical (clinical science, safety science, regulatory) colleagues to ensure the quality, integrity and regulatory compliance of our studies and their results. We also conduct complex exploratory analyses, by applying novel statistical methodologies to answer critical healthcare questions and to fully understand our clinical trial data.

Real World & Clinical Data Strategy

The Real‑World & Clinical Data Strategy (RWCDS) team at Roche develops and implements data strategies that unlock the value of clinical, operational, and real‑world data to accelerate drug development and evidence generation. We are offering positions in 2 areas within RWCDS:

  • Role: Data Steward

    Data Stewards ensure that clinical and real‑world datasets are documented, accessible, trustworthy, and findable by assisting with provenance tracking, defining metadata, and cataloging datasets. Working across operational, clinical trial, and real‑world data, they produce interactive catalogue entries, aligned and standard data dictionaries that enable scientists to locate and reuse data, while ensuring compliance with data privacy and security regulations such as HIPAA and GDPR.

  • Role: Data Strategy & Analytics Specialist

    The Data Strategy & Analytics Specialist (DSAS) designs and executes data analyses to support decision‑making while translating complex scientific and research questions into structured data requirements. They work with multi‑modal data spanning clinical trials, operational metrics, and real‑world data to produce analysis reports or dashboards alongside mapped technical specifications for clinical use cases.

Quantitative Clinical Pharmacology

The Quantitative Clinical Pharmacology department within pRED, which is outside of the PD organisation but supports projects through both early and late stages, requiring strong collaboration with our PD colleagues. Our aim is to select the safest, efficacious dose and dosing schedule through analysis of pharmacokinetic (PK), pharmacodynamic (PD), efficacy and safety data. We also provide a quantitative basis for drug discovery & development decision-making using translational modelling & simulation, pharmacometrics, disease modelling and data science.

Role: Clinical Pharmacology Data Scientist

Clinical Pharmacology Data Scientists (CPDS) supports the Quantitative Clinical Pharmacology department by creating ready to use analysis datasets, providing graphical evaluation of the data and conducting exploratory analysis. We work closely with Clinical Pharmacologists to analyse and report data from clinical studies. We also work closely with Pharmacometricians who use modelling and simulation techniques to support the drug development process.

Who You Are

Pursuing a scientific, or data related degree Have good problem solving and logical thinking skills, Have R programming experience (or other coding language), including data visualisation Have an interest in how biological systems work Have some familiarity with Microsoft Office, or Google equivalent Are able to work independently and as part of a team.

We believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

Data Science Industrial Placement - Multiple roles within Biostats, Data Management, Real-World Data and more in Welwyn employer: F. Hoffmann-La Roche AG

Roche is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of Digital and Tech procurement. With a strong commitment to employee growth, Roche offers opportunities for continuous development and encourages a high-trust environment where team members can share ideas and learn from each other. Located in Welwyn, employees benefit from a flexible working environment that values diversity and inclusion, making it a rewarding place to build a meaningful career.

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Contact Details:

F. Hoffmann-La Roche AG Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Industrial Placement - Multiple roles within Biostats, Data Management, Real-World Data and more in Welwyn

Get Involved in Data Communities

Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!

Leverage University Career Services

Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at F. Hoffmann-La Roche AG.

Show Off Your Projects

Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like F. Hoffmann-La Roche AG a taste of what you can do! Plus, it’s a great conversation starter in interviews.

Connect with Professionals on LinkedIn

Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like F. Hoffmann-La Roche AG.

We think you need these skills to ace Data Science Industrial Placement - Multiple roles within Biostats, Data Management, Real-World Data and more in Welwyn

Data Analysis
Attention to Detail
Communication Skills
Problem-Solving Skills
Programming (R, Python, SAS)
Project Management
Change Management

Some tips for your application 🫡

Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!

Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!

Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!

Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!

How to prepare for a job interview at F. Hoffmann-La Roche AG

Master Your Data Tools

For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.

Showcase Your Projects

Bring along a portfolio of your data projects, especially if they're relevant to F. Hoffmann-La Roche AG. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.

Prepare for Case Studies

Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.

Express Your Enthusiasm

Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join F. Hoffmann-La Roche AG specifically. Let your motivation shine through!