Digital/Device Data Scientist
Location
Secunderabad | India
Job description
About The Role
Your responsibilities will include:
- Advise on current and future digital strategies for sensors, wearables and medical devices deployed in clinical studies that align with the needs of the cardiovascular and metabolic portfolio.
- Conduct up-to-date and state-of-the-art advanced data analytics on acquired digital data, both using standard statistics and contemporary machine learning approaches.
- Participate in the selection and evaluation of CROs, vendors and medical/digital device technologies, and third-party artificial intelligence algorithms that can be deployed in early phase clinical trials.
- Provide solutions with documentation, testing services as required, and supervise implementation as the QSI project lead and the activities performed by the CRO.
- Lead current and future integration of mobile medical device data into exploratory analysis plans leveraging device and sensor processed and raw data content.
- Establish a validation strategy of derived digital endpoints and generate reports during different stages of trials. Interact with internal regulatory experts to assess the appropriateness and utility of products and algorithms for application at various stages of the clinical trial portfolio.
- Participate in and lead cross-functional biomarker collaborations with Discovery and Development partners to support translational and development activities.
- Work expeditiously as a member of matrixed clinical trial teams with diverse membership and expertise.
Commitment to Diversity & Inclusion: We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Role Requirements PhD or MD or equivalent experience in biomedical engineering, bioinformatics, biostatistics, computational biology, machine learning, data science or related field.
Demonstrable experience working with mobile digital devices.
Prior experience with cardiovascular sensor and digital data preferred, including electrocardiography, cardiac imaging, and actigraphy data.
3+ years of experience in analyzing large biological datasets in a drug discovery/development or relevant academic setting.
Experience with third party, industry or academic collaborations as device/algorithm subject expert.
Expert knowledge of statistical programming in Python and R.
Strong understanding of biostatistics and machine learning, including longitudinal analysis, signal processing, convolutional neural networks, and other forms of advanced machine learning.
Excellent communication and ability to translate analytical concepts for diverse audiences and stakeholders.
WHY NOVARTIS
769 million lives were touched by Novartis medicines in 2020, and while we're proud of this, we know there is so much more we could do to help improve and extend people's lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world's toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse team's representative of the patients and communities we serve.
Join our Novartis Network : If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
Division Biomedical Research
Business Unit Translational Medicine
Work Location Hyderabad, AP
Company/Legal Entity Nov Hltcr Shared Services Ind
Functional Area Data Science
Job Type Full Time
Employment Type Regular
Shift Work No
Early Talent No
Job tags
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