Total 8 Senior Executive science rd research job vacancies in Cambridge, Cambridgeshire, CB22 3FH

Your new company
You will be joining a world leading research institute based in the Cambridge area - who have a wide range of partnerships within academia and pharmaceutical & biotech companies - focusing on research within cancer.
The institution has invested heavily in equipment and lab upgrades and fosters a highly collaborative and friendly work environment, where you will be working with leading experts within cancer and biological research.They also offer very generous benefits, a flexible approach to working and make significant investment into the training and development of their staff, so there will be a number of opportunities to develop new and advance existing skills.


Your new role
You will be joining a prestigious research group working with some of the leading scientists in the genetics field carrying out research work to identify new approaches to tackle cancer.
Main responsibilities will include:

• Lead innovative research in molecular biology to uncover fundamental mechanisms related to genetic and protein functions in cancer.
• Investigate interactions between modified bases and proteins, focusing on their impact on genome functions like transcription and chromatin organisation.
• Develop new techniques to study the dynamics of modified bases and their binding proteins, utilising chemical and genetic approaches.
• Analyse genetic/genomic and other omics data sets to provide insights and use these to design future experiments.
• Explore genetic targets for synthetic lethality opportunities in cancer.
• Manage your own research projects while collaborating with others, ensuring meticulous record-keeping and resource management.
• Share your findings through presentations and publications, and help to mentor PhD students.

What you'll need to succeed
As well as strong communication and organisational skills, you should have:

• A PhD (or be nearing completion) in molecular biology, biochemistry, cancer genomics, or related fields, or significant equivalent experience
• Proficiency in molecular biology techniques, including RNA/DNA analysis, PCR, protein analysis, and western blotting.
• Advanced cloning skills, with experience in genetic engineering, vector construction, and CRISPR/Cas9 systems.
• Expertise in recombinant protein design and expression, utilising systems like E. coli, along with purification methods such as FPLC and mass spectrometry.
• Familiarity with genomic technologies like ChIP-seq, RNA-seq, and single-cell methods, preferably within oncology research, though this is not essential.

It would be an advantage to have good data analysis skills and experience using programming / scripting languages such as Python and/or R, along with tools like MATLAB and Bioconductor, however training can be provided.

What you'll get in return
An exciting opportunity to work with one of the leading research institutes in the country, excellent career and skills development, a great working atmosphere and the chance to make a real impact on cancer research.


What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call me on 0203 465 0057.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

Keywords: biology, biologist, molecular, cell, gene, expression, editing, CRISPR, Cas9, recombinant, protein, NGS, genetic, genomic, cancer, cloning, vector, RNAseq, ChIPseq, research, science, pharmaceutical, biotech, drug, discovery, development, R&D, R, python

Role Summary

Pfizer’s Machine Learning Hub is seeking a passionate, creative, and experienced machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer’s proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge. The individual will also design, establish, and manage internal and external collaborations to advance Pfizer’s ML capabilities. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery. Our team is located in Cambridge, MA, USA and Berlin, Germany and this role can accommodate an exceptional candidate in either location.

Role Responsibilities

Principal downstream application domains include indication expansion, target identification, disease mechanism elucidation, and partnering with practitioners in these areas to advance the state-of-the-art.

• Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. This includes data from genomics, proteomics, metabolomics, and other biological sources.
• Advance the internal machine learning tech stack to cope with spurious correlation, obscuring variation and inherent multimodality of biomedical, chemical, and ‘omics data
• Research, design and implement learning algorithms for analysis problems related to drug discovery
• Be an active member of a highly interdisciplinary team
• Conceive, execute and evaluate studies and experiments, interpret the results and present them to scientist in other functions
• Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

Qualifications

• Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline
• PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational life sciences
• Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.)
• Proven expertise in developing machine learning for computational biology
• Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion
• Strong publication record and demonstrated contributions to the field
• Solid expertise with ML libraries such as PyTorch, Lightning is mandatory! Programming skills in Python must be top-notch. Experience with relevant libraries of the Python scientific stack is a big plus.
• Familiarity with GPU computing both on-premises and on cloud platforms
• Fluency with common version control tools and collaborative coding
• Passion and curiosity for data and proven ability to take ideas from prototype to production
• Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication

PHYSICAL/MENTAL REQUIREMENTS

Ability to perform mathematical calculations and ability to perform complex data analysis. Relocation support available.

Relocation assistance may be available based on business needs and/or eligibility.

ROLE SUMMARY

The Internal Medicine Research Unit (IMRU) is committed to finding cures for metabolic diseases and related complications. Our goal is to build a research team of driven scientists focused on developing a deep mechanistic understanding of the metabolic pathways driving obesity, cardiovascular disease, diabetes, and renal disease. Apply scientific and technical expertise to drug discovery programs to impact the future of new drug candidate development. The aim is to recruit a scientifically and technically strong research scientist proficient in in vivo and in vitro metabolic research models, with the ultimate goal of developing effective therapies.
 

ROLE RESPONSIBILITIES

• Conceptualize and design experiments.

• Organize and conduct in vitro/ in vivo/ ex vivo studies independently (including preparation, data collection, interpretation, and presentation).

• Maintain awareness of scientific and technical developments in the field.

• Author manuscripts for quality publications in top-tier journals.

• Interface with an interdisciplinary team of scientists in the Internal Medicine Research Unit and engage in both target exploration and driving established projects in our portfolio.

• Quantify and translate experimental results to advance the understanding of how metabolic pathways and complex physiological systems are altered by diseases and how they respond to therapeutic interventions.

• Maintenance of laboratory notebook records and adherence to safety policies is strictly required.

QUALIFICATIONS

• PhD with a minimum of 2 years of post-doc experience.

• Experience in obesity-related physiology is required (examples, CNS regulation of energy balance, muscle or adipose metabolism/function).

• Expertise in cell biology and physiology with emphasis on metabolism and signaling pathways is essential.

• Experience working with GPCRs and associated pathways is a plus but not required.

• A successful track record of scientific achievements through scientific publications and presentations.

• Candidate should be able to review literature to formulate new ideas and have the ability to work independently as well as with an interdisciplinary team of scientists in a highly collaborative environment.

• The candidate will have daily interactions with a team of creative and innovative scientists in a supportive environment.

• Excellent communication and interpersonal skills are essential.

  
PHYSICAL/MENTAL REQUIREMENTS

In vivo vivarium work

Relocation support available

Work Location Assignment: On Premise

Relocation assistance may be available based on business needs and/or eligibility.

Job Title: Senior Research Associate - Synergy

Location: Cambridge, UK

Salary: £35,000 p/a

contract: 12 month FTC

A highly motivated Senior Research Associate (SRA) in protein biochemistry and molecular assays. The SRA will be responsible for the production of condensate-forming proteins and carry out compound screening using our proprietary microfluidic platform, activities that are critically important to the success of our drug-discovery program.

This role will require a good knowledge of problem-solving capability to successfully express and purify challenging protein systems from heterologous hosts. The candidate should demonstrate expertise and technical proficiency in molecular biology and protein chromatography methods. Comprehensive training will be provided for the operation of our specialized screening technologies.

Synergy, part of SRG, offer a range of scientific solutions to different Clients in the Life Sciences sector. We can offer a competitive salary, a range of excellent benefits and access to training & development opportunities within the role.

Responsibilities:

· Express and purify recombinant proteins, including cloning and construct generation.

· Problem solve and innovate to produce proteins in large scales from heterologous expression systems including insect and bacterial cells.

· Analyse data, troubleshoot technical difficulties, implement solutions, and present results regularly at team meetings.

· Maintain and implement laboratory practices to a high standard, including accurate record keeping using electronic laboratory notebook systems.

· Work effectively and collaboratively with cross-disciplinary teams to contribute to the vision, strategy, and tactics of the organization.

Requirements:

· BSc/MSc in Biochemistry, Biophysics, or a related field, or sufficient industry experience.

· Solid industry experience, working in protein biochemistry, molecular biology, or related disciplines (2-3 years).

· A demonstrated ability to design and execute recombinant protein expression and purification strategies using mammalian, insect, yeast, ba

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.