Data Scientist, Discovery & AI
Rixensart
GSK
At GSK, we unite science, technology and talent to get ahead of disease togetherJob purpose:
Within the Human Biological sample Management Central team (HBSM CT), part of Global Clinical Operations, the Data Scientist – is a key member of Discovery and AI team which is pushing the boundaries of innovation and AI in HBSM CT. Our team is committed to creating intelligent solutions that transform data into actionable insights, driving the next wave of discovery and advancement in artificial intelligence. As we continue to expand, we are seeking a talented and motivated Data Scientist to join our dynamic team.
We are looking for a skilled Data Scientist to play a pivotal role in our Discovery & AI team. The successful candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to unearth valuable insights from complex datasets. This role is instrumental in shaping the direction of our AI initiatives, contributing to the development of innovative solutions, and driving the application of data-driven decision-making across the organization.
Your responsibilities:
- Data Exploration and Analysis:
- Conduct exploratory data analysis to identify patterns, trends, and anomalies within large and diverse datasets.
- Collaborate with cross-functional teams to understand business objectives and translate them into data science tasks.
- Machine Learning Model Development and deployment:
- Design, implement, and deploy machine learning models to solve complex business problems.
- Work closely with Cloud and data engineers (Tech partners) to integrate machine learning solutions into our products and systems.
- Participate actively in the deployment and validation of the models into production to ensure compliance and regulatory standards are met.
- Feature Engineering and Data Preprocessing:
- Develop and implement data preprocessing pipelines to ensure the availability of clean and relevant data for model training.
- Engineer features to enhance model performance and interpretability.
- Algorithm Optimization:
- Continuously optimize and fine-tune existing machine learning algorithms for improved accuracy and efficiency.
- Stay abreast of the latest advancements in data science and AI to incorporate cutting-edge techniques into our projects.
- Collaboration and Communication:
- Collaborate with cross-functional teams, including software developers, data engineers, and domain experts, to achieve project goals.
- Communicate efficiently with different stakeholders including senior levels
Why you?
Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:
- Advanced degree (master’s or Ph.D.) in a quantitative field such as Computer Science, Statistics, or a related discipline.
- Proven experience in developing and deploying machine learning models in a production environment.
- Proficiency in programming languages such as Python or R, along with experience using relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- At least 2 years’ experience as a Data Scientist preferably within a high regulated environment (GxP, GCLP…). Extended experience in validating complex IT solutions in a GxP framework (deep knowledge of ITMS methodology is a real asset)
- Minimum of 18 months working experience in the pharma industry (clinical trial context)
- Full proficiency in French and English is a MUST
- Strong analytical and problem-solving skills, with a keen eye for detail.
- Excellent communication skills and the ability to work collaboratively in a team-oriented environment.
- Good balance of technical knowledge and business acumen will be key for this role
- Customer-oriented, proactive, entrepreneur mindset
- Affinity with process improvement and optimization
- Pronounced quality mindset and organizational skills
- Excellent communication skills, ability to engage, influence and inspire are key
- Ability to manage time & priorities
- Results-oriented and ability to work under pressure.
#Li-GSK
If you have a disability and require assistance during the course of the selection process, you will have the opportunity to let us know what specific assistance you require in order to make suitable arrangements.
Why Us?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis EDA Engineering Feature engineering Machine Learning ML models Model training Pharma Pipelines Python PyTorch R Scikit-learn Statistical modeling Statistics TensorFlow
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