Website Artech LLC
Artech LLC
Company : Artech LLC
6 months contract (Possible Extension)
100% onsite
TOP 3 SKILLS PER MGR (in addition to excellent communication skills):
1. Patient endotype discovery using unsupervised/supervised ML approaches
2. Omics analysis (primarily proteomics, Olink, Soma, LC-MS) incl differential expression, clinical characterisation, clinical outcomes and pathway analyses
3. Experience with CDISC format (as my main work currently is on our RCT data)
Job Description:
The Position-
We are seeking a highly motivated Senior Research Scientist to play a key role in supporting our Therapeutic Areas (TA) in their efforts to better characterise patients/diseases in a real-world context. Focussed initially on heart failure (HF), you will be responsible for (1) using patient-derived molecular and phenotypic data to identify treatment-relevant disease subgroups, (2) integrating diverse features from Client clinical trials and externally sourced patient cohorts to define Client endotypes and provide real-world context to our Client drug targets, and (3) utilise modern machine-learning methods to derive and communicate insights to non-expert stakeholders in a clear and meaningful way.
In this role you will:
Develop and apply advanced but explainable AI/ML methods and statistical models to cardiovascular disease
Collaborate with cross-functional teams across EVP areas to identify and validate new endotypes, biomarkers, and drug targets
Analyse large patient-derived molecular and phenotypic datasets, to identify patterns and trends that can inform future target discovery and development
Present findings with clarity and objectivity in internal presentations and publications in scientific journals
Mentor junior scientists and provide guidance on computational methods and analyses as well as identify and drive new internal and external collaborative opportunities.
Qualifications:
• Master’s degree in Bioinformatics, Computational Biology, Computer Science / Machine Learning, Genomics, or related field (PhD candidates will be considered w/min of 1 yr prof exp)
• 3+ years working/professional experience
Our ideal candidate meets the following criteria:
• Has proven track record of delivering cohort analyses and clear interpretation of insights derived from machine learning
• Has strong knowledge of machine learning algorithms and their application to biomedical data
• Has experience with programming languages such as Python or R, version control, and high-performance computing
• Has excellent communication and collaboration skills
• Has the ability to work independently and drive projects forward
You will have access to a diverse set of patient-derived data and have the freedom to integrate these to identify Client disease subgroups, biomarkers, and drug targets. You will play a key role in driving our TA strategies by contributing to data-driven decision making.
We are looking for someone who thinks this sounds exciting and is motivated by keeping pace with developments in machine learning, real-world data, and cardiometabolic disease. Success is demonstrated on several levels including contributing to TA strategy, proposing new disease endotypes via application of explainable AI/ML methods, mentoring junior scientists, and driving external and academic collaborations.