Computational Materials Scientist - Flexible Working Available

Recruiter
Pfizer
Location
Sandwich
Salary
Negotiable
Posted
11 Jun 2021
Closes
28 Jun 2021
Ref
4816623
Hours
Full Time
Contract Type
Permanent

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company guided by our four values: courage, joy, equity, and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitise an accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony. This attracts talent and enables everyone to be their best working self.

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this in all its forms-allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Where you will thrive

Our Pharmaceutical Sciences function at Sandwich works on Pfizer's early to late-stage clinical development portfolio transforming new chemical entities into commercial drug products. Within Pharmaceutical Sciences, the Drug Product Design department utilises expertise in materials science and formulation design to deliver innovative new medicines and manufacturing processes. Digital design is a key part of the science and technology strategy for the department.

Bring your passion

As a computational material scientist, you will utilize advanced computational chemistry and crystallographic tools to calculate the solid-state properties of Pfizer molecules so that their properties and performance can be predicted. This will enable Pfizer project teams to de-risk their programmes and move rapidly to clinical studies in patients and ultimately to commercialisation.

You will have demonstrated evidence of strong coding skills in a scientific programming language (such as C/C++, Python, Perl), competency in UNIX/Linux and HPC environments and in utilising computational chemistry software (e.g., Gaussian, qChem, GAMESS-US, cp2k, quantum espresso and VASP). Your ability to apply your deep knowledge of the fundamental physical chemistry and materials science concepts such as thermodynamics, solvation, crystallography, symmetry, nucleation, and crystal growth in addition to your strong analytical and mathematical skillset will be critical in this role. An understanding of the physical properties needed for drug substance manufacture and formulation into drug product is desirable. Knowledge of the CCDC tools would be beneficial.

What you'll enjoy doing

  • Apply advanced computational approaches to predict the properties and performance of crystalline and amorphous drug substances
  • Use computational techniques (including matched molecular pair studies, full interaction maps, solvation energy calculations and hydrogen bonding propensity studies) to compare and rank new molecules against existing three-dimensional crystal structures (such as those in the Cambridge Crystallographic Database).
  • Conduct Crystal Structure Prediction calculations and free energy calculations for polymorph stability ranking.
  • Make recommendations for targeted crystallization experiments and/or modifications to the molecular structure to provide enhanced physical properties and stability of the material in the solid state.
  • Oversee the computational work of external partners, providing guidance to drive success.
  • Solve scientific problems using contemporary solid-state computational techniques.
  • Participate on multidisciplinary project teams and partner with colleagues to define and recommend screening and characterization strategies according to project timelines.
  • Guide the development of new computational methods and scientific approaches to deliver continuous improvement opportunities in our workflows including learning and applying new technologies and concepts

 

Qualifications

Senior Scientist

  • Relevant Ph.D in Chemistry, Physics, Materials Science or Engineering with relevant evidence of applying this qualification in academia or industry or a relevant Masters with greater relevant evidence of applying this skill set in academia or industry.

Principal Scientist

  • For a Principal Scientist, we would seek, in addition to the above, significant relevant evidence of applying this qualification in academia or industry.