Senior Data Scientist – Antibody Design

Job title:

Senior Information Scientist – Antibody Design

Firm

Novo Nordisk

Job description

Are you a extremely expert scientist with expertise with computational antibody design? Are obsessed with utilizing your experience to options that may change the lifetime of sufferers with diabetes and different severe persistent illnesses? Do you’ve got a powerful understanding of antibody or nanobody sequence, construction, perform, and former expertise of antibody or nanobody discovery and growth in an industrial or tutorial setting? Are you an professional in machine studying and taken with bettering the design of novel antibodies? If sure, we’ve thrilling alternatives so that you can be part of our workforce as an Antibody Design Scientist!

In regards to the Division
Our Antibody Design Division is a part of the Digital Science and Innovation (DSI) space at Novo Nordisk, situated in Måløv (Denmark) and London (UK). We use progressive computational instruments and strategies to design novel antibodies and nanobodies. Our workforce works collaboratively throughout numerous departments, inside and out of doors Analysis and Early Improvement, to ship secure and efficient antibody therapies to sufferers. We worth a various and inclusive tradition, the place our workforce members can thrive and develop. Our workforce consists of passionate, goal-oriented people who take pleasure of their work and are dedicated to creating a distinction in sufferers’ lives.

The Positions
We’re at present looking for proficient scientists to affix our workforce in London, UK.
– Antibody Information Scientist
Accumulate, analyze, and mannequin antibody knowledge utilizing state-of-the-art machine studying and language modeling strategies to drive the design of novel antibodies. Construct built-in pipeline to automate the gathering and evaluation of Antibody knowledge. Work collaboratively together with your colleagues to develop machine studying fashions that can be utilized to optimize antibody candidates.
The place requires documented experience within the growth of AI and deep studying strategies, and growth of Antibodies in a pharmaceutical atmosphere. The candidate will use computational instruments resembling molecular modeling and simulations, sequence and construction evaluation, and machine studying instruments to design and optimize antibody and nanobody candidates. As well as, you’ll use your robust interpersonal abilities to speak successfully and collaborate with workforce members to realize our targets.

Key Tasks
As an Antibody Design Scientist, Nanobody Design Scientist, and Antibody Information Scientist, you’ll:

• Drive progressive and artistic options to design novel antibodies or nanobodies in live performance with different departments
• Work collaboratively with workforce members to realize challenge targets
• Establish potential liabilities and developability points alongside the antibody discovery pipeline
• Use present instruments or develop novel ones to design and engineer antibody variants with improved performance
• Combine experimental outcomes with computational fashions to speed up the antibody discovery course of
• Generate and retailer ML prepared knowledge from antibody tasks
• Carry out computational analyses and simulation on massive knowledge units utilizing HPC sources
• Doc and successfully talk the invention and innovation course of to key stakeholders and managers
• Work carefully with related groups to translate best-performance strategies into manufacturing
• Encourage, suggest, and take part in tasks boosting the usage of superior computational strategies for antibody design
• Keep updated with the most recent developments in computational biology and antibody/nanobody design

{Qualifications}

• Grasp’s diploma required. PhD most popular. Diploma inside Computational Biology, Bioinformatics, Machine Studying, or a associated discipline
• Grasp’s diploma with 3+ years of expertise in scientific or industrial antibody/nanobody growth. Extra skilled scientists are additionally inspired to use.
• Deep understanding of antibody or nanobody sequence, construction, perform, and their growth in an industrial setting
• Good interpersonal abilities: communication, group work, goal-oriented
• Stable expertise of related computational instruments, together with however not restricted to Python programming, molecular modeling and simulations (Rosetta, Schrödinger, or related), sequence evaluation, and machine studying frameworks (PyTorch, Azure ML, or related)
• Expertise in utilization of HPC options (aws, azure, or related)
• Expertise in B-cell Rep-Seq and scRNA-Seq evaluation is a plus.

Working at our firm

Our firm is dedicated to creating a piece atmosphere the place our workers can thrive and obtain their skilled targets. We provide a aggressive compensation package deal, together with advantages resembling medical health insurance, retirement plans, and paid day without work.

We worth range and inclusion and attempt to create a tradition that embraces and celebrates our variations. We’re devoted to creating an atmosphere the place all workers really feel valued and revered.

Contact

In case you are taken with these thrilling alternatives, please apply in the present day! For additional info, please contact Paolo Marcatili (pomc@novonordisk.com). We stay up for listening to from you!

Deadline

The deadline for functions is March twenty ninth, 2024. Please be aware that functions can be reviewed repeatedly, and interviews can be deliberate as quickly as an acceptable candidate is recognized.

We decide to an inclusive recruitment course of and equality of alternative for all our job candidates.

At Novo Nordisk we acknowledge that it’s now not adequate to aspire to be the perfect firm on the planet. We have to aspire to be the perfect firm for the world and we all know that that is solely potential with proficient workers with numerous views, backgrounds and cultures. We’re due to this fact dedicated to creating an inclusive tradition that celebrates the range of our workers, the sufferers we serve and communities we function in. Collectively, we’re life altering.

Anticipated wage

Location

Oxford

Job date

Thu, 07 Mar 2024 23:56:45 GMT

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