Overview:

THE COMPANY

Phastar is a multiple award-winning global biometric Contract Research Organization (CRO) that is accredited as an outstanding company to work for by Best Companies. We partner with pharmaceutical, biotechnology and medical device organizations to provide the expertise and processes to manage and deliver on time, quality biostatistics, programming, data management and data science services. With offices across the UK, US, Germany, Denmark, Kenya, Australia, India, China and Japan, Phastar is the second largest specialized biometrics provider globally, and the largest in the UK.

Our unique approach to data analysis, “The Phastar Discipline”, has led us to build a reputation for outstanding quality. With this as our core focus, we’re looking for talented individuals who share our passion for quality and technical expertise to join our team.

WHY PHASTAR

Accredited as an outstanding company to work for, Phastar is committed to employee engagement, workplace satisfaction and ensuring a healthy work-life balance. We offer flexible working, part-time hours, involvement in developing company-wide initiatives, structured training and development plans, and a truly supportive, fun and friendly environment.

What’s more, when you join our team, Phastar will plant a tree in your honour, as one of our Environmental, Social and Governance (ESG) initiatives. So, not only would you get your dream job, you’ll also be helping to save the planet!

THE ROLE

We are seeking a Senior Data Scientist to support one of our pharmaceutical clients and work specifically within one of our FSP teams. The role will allow the successful candidate to work with R programming language, R Shiny and Python on clinical and non-clinical trials to produce complex datasets and outputs.

This will be a diverse role that will involve; the creation of R shiny Apps, conversion of R to SAS and Visa-Versa, creating complex macros, reviewing and updating complex data specifications and understanding Statistical Analysis Plans (SAPs).

This position is remote, although it can be office based or hybrid, depending on your location.

Responsibilities:

Develop and maintain advanced R Shiny applications to visualize and interact with complex datasets
Perform statistical analysis and predictive modeling using R, SAS, Python, and other statistical software, ensuring the integrity and accuracy of analyses
Work closely with clinical teams to understand data requirements and implement solutions that adhere to clinical data standards (e.g., CDISC, ADaM)
Research and implement cutting-edge machine learning/deep learning/artificial intelligence techniques to enhance data analysis efficiency and effectiveness
Collaborate with cross-functional teams to design and execute data-driven strategies that support drug discovery and development processes
Ensure compliance with industry standards and regulatory requirements related to data management and analysis
Stay abreast of latest trends, technologies, and methodologies in data science, machine learning, and biotechnology/pharmaceutical industries to continually improve our analytics capabilities
Collaborate closely with biostatisticians, data managers, and other stakeholders to understand project requirements and deliver timely results
Present findings and provide technical support to internal teams and external partners
Maintain thorough documentation of all programming activities to ensure reproducibility and adherence to internal standards
Conduct rigorous quality control checks on all deliverables to ensure accuracy and compliance with regulatory standards

Qualifications:

Advanced degree (MSc or PhD) in Data Science, Statistics, Computer Science, Bioinformatics, or a related field
Previous experience working in a clinical setting and/or previous experience working on clinical focused projects for CRO, pharmaceutical or biotechnology companies (essential)
Proven fluency in multiple programming languages and statistical analysis tools, including R, SAS, and Python
Expertise in creating advanced R Shiny applications (essential)
Demonstrated experience in analyzing clinical trial data and a thorough understanding of clinical data standards (CDISC, ADaM, etc.)
Knowledge in machine learning, deep learning, and artificial intelligence, with a track record of implementing new techniques and tools to improve data analysis processes
Excellent problem-solving abilities and a strong commitment to quality
Ability to work collaboratively in a fast-paced, interdisciplinary environment
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

APPLY NOW

With the world’s eyes focused on clinical trial data, this is a fantastic time to join an award-winning specialized biometric CRO that is renowned for its technical expertise, outstanding quality and cutting-edge data science techniques. We offer flexible working, part-time hours, structured training and development plans, continuous learning opportunities, and a competitive salary and benefits package. We’re committed to ensuring our employees achieve a healthy work-life balance, within a supportive, fun and friendly working environment.

Should you feel that you have the right skill set and motivations for this position, please apply! Please note that we are considering candidates located anywhere in the UK, Germany, France, Spain and Denmark as this role can be carried out remotely.

Phastar is committed to the principles and practices of equal opportunities and to encouraging the establishment of a diverse workforce. It is our policy to employ individuals on the basis of their suitability for the work to be performed and their potential for development, regardless of age, sex, race, colour, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity, sexual orientation, gender reassignment, religion, or belief. This includes creating a culture that fully reflects our commitment to equal opportunities for all.

Important notice to Employment businesses/Agencies

Phastar 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 Phastar's Head of Talent Acquisition to obtain prior written authorization before referring any candidates to Phastar. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and Phastar. 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 Phastar. Phastar 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.

FSP Senior Data Scientist