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Data Scientist - Healthcare & Life Sciences

Location: London, United Kingdom

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About Citeline

Citeline is one of the world's leading providers of data and intelligence on clinical trials, drug treatments, medical devices and what's new in the regulatory and commercial landscape. Relying on us to deliver vital advantage when making critical R&D and commercial decisions, our customers come from over 3000 of the world’s leading pharmaceutical, contract research organizations (CROs), medical technology, biotechnology and healthcare service providers, including the top 10 global pharma and CROs.  
From drug and device discovery and development to regulatory approval, and from product launch to lifecycle management, we provide the intelligence and insight to help our customers seize opportunities, mitigate risk and make business-critical decisions, faster. As the pharma and healthcare sector faces unparalleled upheaval, customers rely on our independent advice, enabling them to cut through the clutter and make sense of changing drug development, regulatory and competitive landscapes. 
Now, Citeline is proud to be a part of Norstella, an organization that consists of market-leading pharmaceutical solutions providers united under one goal: to improve patient access to life-saving therapies. Within this organization, Citeline plays a key role in helping clients connect the dots from pipeline to patient. 

Job description

We have an exciting opportunity for a Clinical Data Scientist to join our growing Clinical Data Science team. This role will closely collaborate with other members of the Clinical Data Science team, Product Management, content matter experts, and Technology teams across Citeline’s parent company, Norstella, to identify and further drive development of innovative advanced analytic solutions that address key customer problems “from pipeline to patient”, ranging from (but not limited to) clinical trial planning and execution strategies, whilst also helping to guide methodologies and internal processes.

Key duties and responsibilities 

  • Work within the Clinical Data Science team, alongside the Product Management and Technology groups across Citeline and Norstella, to address key customer-driven problems within the product roadmap.
  • Explore and apply predictive modelling, machine learning, and Generative AI techniques to internal and new datasets to advance the product portfolio.
  • Propose new analytics concepts and develop proof of concepts for Product Management to gain customer validation before progressing to full product development.
  • Use natural language processing, advanced data mining techniques, machine learning, and Generative AI to extract maximum value from structured and unstructured data sources.
  • Responsibilities extend to identifying and selecting any new analytics tools required to support innovation.
  • Work with Data Engineers to guide data transformations, alignment, and linking of existing data within our data architecture to drive analytics.
  • Work alongside teams to identify new data assets that can support and enhance Citelines advanced analytics offerings.
  • Identify ways to optimise internal ways of working and processes.

Key requirements

  • Master's in computer science, statistics, or other quantitative subject with extensive full-time post-graduate industry experience.
  • Proficiency in advanced analytics methodologies including but not limited to machine learning (classification, regression, clustering, feature selection and engineering, model evaluation, model explainability or interpretability, etc.) and other statistical analysis techniques for both data analysis and to guide appropriate model evaluation.
  • Experience with working with Large Language Models (e.g., Claude 3 models, Llama, Mistral, Dolly, etc.), Generative AI APIs (e.g., OpenAI), SaaS (e.g., AWS SageMaker) and/or PaaS (e.g., AWS BedRock, Azure OpenAI) solutions.
  • Experience with common data analytics programming languages (Python) and related best practices (PEP-8), libraries (Pandas, NumPy, Scikit-Learn, scipy, nltk, spaCy, etc.).
  • Knowledge of data visualization tools, such as Matplotlib, Seaborn, Plotly, dask, Pydash, Bokeh.
  • Experience with working within the AWS cloud environment, particularly with SageMaker, Lambda, API Gateway, and S3.
  • Understanding of software engineering best practices (e.g., object-oriented programming, unit and integration testing, etc.) and technologies (e.g., CI/CD).
  • Exceptional attention to details, and extremely strong problem-solving skills to anticipate and proactively recommend solutions.
  • Excellent time management skills and ability to multi-task and prioritize work.
  • Strong written and verbal communications, including with senior executives and customers.

Preferred Qualifications

  • Domain expertise in the Life Sciences industry.

Our guiding principles for success at Norstella

01:  Bold, Passionate, Mission-First   
We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients.  Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do.    
02:  Integrity, Truth, Reality  

We make promises that we can keep, and goals that push us to new heights.  Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn’t.  By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.    
03:  Kindness, Empathy, Grace  

We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude.  We use this principle across the organization to collaborate and build lines of open communication.    
04:  Resilience, Mettle, Perseverance  

We will persevere – even in difficult and challenging situations.  Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.  
05:  Humility, Gratitude, Learning  

We will be true learners by showing humility and gratitude in our work.  We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.   


  • 25 days annual leave, 4 days for volunteering and a personal day
  • 5% pension match
  • Group Life Assurance (100% employer funded)
  • Group Income Protection (100% employer funded)
  • Other voluntary benefits such as: Dental, Cash Plan, PMI Excess Cover, Health Screening & Critical Illness
Norstella is an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people’s differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual’s abilities, skills, performance and behaviour and our business requirements. Norstella operates a zero tolerance policy to any form of discrimination, abuse or harassment.   
We know that sometimes the 'perfect candidate' doesn't exist, and that sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here, you are welcome. If you read this job description and feel engaged and excited, we’d love to see you apply.   

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