Data Analyst, Open to flexible working
GlaxoSmithKline is a world leading research-based pharmaceutical company that combines both individual talent and technical resources to create a platform for the delivery of strong growth in a rapidly changing healthcare market. Our mission is to improve the quality of human life by enabling people to do more, feel better and live longer.
We are looking for an individual with experience in toxicology, computational sciences and data analysis to join our Non-Clinical Safety Department at one of GSK's flagship R&D Sites.
The Non-Clinical Safety department is accountable for driving human-relevant hazard detection, risk characterisation and quantitative safety translation to advance the next generation of medicines to patients. The department generates a wealth of in vitro and in vivo nonclinical toxicology and pharmacology data, which is used to predict the likelihood of adverse drug events.
The Non-Clinical Safety department is on a journey to transform GSK's approach towards predicting adverse drug reactions. We are looking for an individual who has the personal motivation and vision to help design, build and realise GSK's future strategy in this area.
We are interested to hear from any applicants who have experience in both the systematic organization of knowledge to direct the design and development of computational models and the application of these models in life sciences to inform decision making.
Key Responsibilities include, but are not limited to:
- Implementation of in silico approaches to aid investigation of potential drug safety issues and enhance mechanistic understanding to provide translational risk assessment.
- Work in a highly dynamic, multidisciplinary environment alongside experts to apply modelling approaches related to safety endpoints into the molecular design process and support GSK's compliance with ICH guidelines (experience in chemical safety would be preferred).
- Work with internal and external partners to guide development and deployment of new in silico approaches (improving prediction and translation of drug safety risks).
- Integrate information and data from a variety of sources to apply theoretical mathematical models to better understand and predict health effects caused by exposure to chemicals
Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
During the course of your application you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.
We are looking for professionals with these required skills to achieve our goals:
- Relevant education (e.g. degree or higher degree in Biochemistry, Chemistry, Mathematics or Computational/Data Sciences) and evidence of Continuing Professional Development.
- Experience in the design and validation of predictive mathematical modelling techniques (e.g. QSAR) in life sciences.
- Proven experience of applying predictive mathematical modelling approaches in life sciences to address specific issues related to chemical safety and toxicology.
If you have the following characteristics, it would be a plus:
- Outstanding written, verbal and interpersonal communication skills.
- Ability to work with matrix teams to ensure execution of deliverable successfully.
- Demonstrated problem solving abilities.
- Ability to effectively communicate complex and technical information and influence stakeholders and technical staff.
- An ability to work as part of a cross-functional team, engaging other scientists with complementary skill-sets.
- Strong communication skills with demonstrated track-record of effectively delivering data-driven solutions and tools to scientists and stakeholders.
- A 'disruptive' mindset, proposing novel approaches to challenging scientific questions.
Our values and expectations are at the heart of everything we do and form an important part of our culture.
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
- Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk.
- Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
- Continuously looking for opportunities to learn, build skills and share learning.
- Sustaining energy and well-being.
- Building strong relationships and collaboration, honest and open conversations.
- Budgeting and cost-consciousness.
At GSK, we're a company with a special purpose, to help people do more feel better and live longer. Realising our purpose starts with us. When we feel at our best, we perform at our best.
When you set out on your adventure at GSK, we make a deal. You commit to living GSK's values and expectations and performing against our Innovation, Performance and Trust priorities. And in return, GSK commits to providing the right environment for you to thrive. Put simply, it's about you being motivated to do your best work, in a place where you can be you, feel good and keep growing.
Together we build an environment where we can all thrive and focus on what matters most to each of us. It is only through the energy, dedication, drive and passion of all of us that we can be the very best for GSK, and importantly, for our patients and consumers.
As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.
As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
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