Roche on cord

Roche

Data Science Industrial Placement

External position
East Hertfordshire District, UK
Hiring internally for Roche?
BioTech · Pharmaceuticals
Doing now what patients need next.
Active
over 6 months ago
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
3 hours ago

Skills & Experience

Job roles: Data Scientist
Experience level: Entry
Core skills considered: Data Analysis, Data Modeling, Data Pipelines, Python
Other skills considered: R, SAS, Data management, Data Protection

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

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.

You must be studying for an undergraduate or integrated masters degree, and be eligible to work in the UK.


Function: 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.


Who You Are

  • Pursuing a degree in Data Science, Life Sciences, or a related field
  • Strong attention to detail and organizational skills and can adhere to compliance guardrails and departmental procedures.
  • Demonstrate critical thinking and a willingness to learn.
  • An effective communicator, able to work collaboratively and learn to influence others in both technical and non-technical roles.

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.


Who you are

  • Pursuing a degree in Data Science, Life Sciences, Bioinformatics, Computer Science or a related field
  • Strong communication skills, with the capability to bridge technical and non-technical teams effectively
  • Interest in or ability to use digital tools for project/code management (e.g. Github, Jira) and in basic programming (e.g. simple Python or R)
  • Ability to manage time and keep projects on track.
  • A logical mindset for identifying process improvements and developing practical solutions to everyday problems.

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.


Who You are

  • Pursuing a degree in Data Science, Life Sciences, or a related field
  • Have an understanding of or a willingness to learn about Change Management & Communication strategies
  • Have an understanding of or a willingness to learn about Knowledge Management and how it contributes to core performance and compliance
  • Have an understanding of or a willingness to learn about Process Improvement: to help identify gaps and propose process enhancements.

Function: 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.


Who You Are (applies to both Analytical Data Sciences roles)

  • Pursuing a degree in Mathematics, Data Science, Bioinformatics, Computer Science, Statistics, or a related quantitative or computational field
  • Good problem solving and logical thinking skills, as well as a keen interest in analytics
  • Knowledge of some programming languages (R, SAS, Python) beneficial
  • A curious mindset with an eagerness to learn about what we do as a business as well as strengthening your technical skills.
  • Able to perform well as part of cross-functional and interdisciplinary development teams under general supervision.
  • Strong communication skills, with the capability to bridge technical and non-technical teams effectively
  • Ability to manage time and keep projects on track.

Function: 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

Company Benefits

Flexi-working
Data Science Industrial Placement at Roche
Position posted 2 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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