Senior Scientist, Endpoints and Biometrics - Evinova

What you’ll do :

As the Senior Scientist, you will play a pivotal role in our scientific capabilities to make a positive impact on changing patients’ lives through the following:

• Contribute to workstreams by programming psychometrics/clinimetrics/statistics to generate evidence of patients’ experience with treatment throughout the drug development lifecycle. (e.g. psychometric performance of the instrument, sensitivity/specificity of signal detection, construction of novel endpoints).

• Contribute, conduct and interpret psychometrics/clinimetrics or statistical analyses for the validation of novel endpoints leveraging data from clinical outcomes assessments (COA) including data from sensors/wearables in clinical trials including: develop analyses strategy, manipulate and validate data files, test selection, and analyses.

• Establilsh product level clinical data management practices and structure including data flow and standardization

• With supervision, prepare, review, and publish data and ensure that clinical validation findings are communicated effectively, and as appropriate in scientific reports, internal/ conference presentations, publications, regulatory dossiers reflecting ongoing or completed work

• Plan and conduct meetings with content experts for evidence generation

Essential for the role

• A Bachelors degree in a related field, plus four years practical experience is required.

• An advanced degree in a science related field and/or other appropriate knowledge/experience is preferred. Combination of academic training and practical experience in outcomes research:

• Preferred: Doctoral degree (e.g., Ph.D., Sc. D. or Dr.P.H.) in a relevant field such as, but not limited to, biostatistics, statistics, health outcomes research, epidemiology, public health, or data science

• OR: Clinical degree (e.g., in medicine, pharmacy, nursing, or equivalent) and a masters degree in a related field (as noted above), plus one year practical experience

• OR: Masters degree in a related field (as noted above), plus one year practical experience

• Programming and visualization using R, SAS, Python, or similar, in any setting, including life sciences company, research organization, academic institution or governmental agency, including experience in interpreting and communicating evidence from clinical research.

• Working knowledge of drug development

• Project management skills

• Conceptual, analytical and critical thinking

• Ability to challenge the status quo, take ownership and holds self and others accountable

• Highly efficient: able to navigate ambiguity and address problems in a fast-paced environment; able to adapt to new ways of working

• Superb communication skills

• Creative, innovative, solution-focused

• Strong communication skills, the ability to build relationships

Desirable for the role

• Experience with data from multiple sources, including wearables and sensors

• Understanding of novel digital development framework with experience

• Understanding of the regulatory landscape governing research with human subjects

• Conducting of outcomes research studies, and the communication of study findings to internal and external audiences

• Diligence - attention to detail and ability to manage a program of concurrent activities

• Resilience - ability to overcome and motivate others in the face of a changing environment