Senior Data Scientist
- $35k – $40k • No equity
- Remote •
- 3 years of exp
- Contract
Not Available
Remote only
About the job
About Cogniant
Cogniant is accelerating clinical trials for neurological disorders using tech-enabled stack. We are the bridge between technology and medicine. (Digital Medicine). We are introducing image, voice, and natural language technologies into the world of clinical trials to enable real-word evidence gathering and analysis.
Our solutions are now being used in major hospitals and clinics across Australia and Singapore. We are seeing a great traction among clinicians and more recently in bipharma companies. Cogniant is Techstars Company backed by Enterprise Singapore and industry experts in Digital Medicine and biopharma.
*Our Vision *
To solve important and complex challenges in health.
Cogniant is an early intervention and care continuity tool that enables health care professionals to empower and improve their client outcomes. The accurate, efficient and effective platform creates positive behavior change and health outcomes through a combination of mathematics, clinical insights, leading edge technology and enhanced user experience.
Clients receive a seamless and sophisticated product that supports them by adapting to their needs and preferences through an evolving, personalized experience.
We are driven and guided by our core values of continuous learning, experimentation, failing fast, iteration and human centered design, all underpinned by science.
Role Description:
• We are searching for a teammate to spearhead our organization's data science roadmap, with a focus on building algorithms and predictive models. In this role, we are looking for someone with a love for data, ability to creatively problem solve and a drive to use their skills to enhance health equity.
This position will report to Cogniant’s CTO of Impact and will be based in Singapore or remotely.
Algorithms for Health (80%):
•
The Data Scientist will conduct novel analysis of Cogniant Mobile app usage and project data, and build models that result in data-driven product enhancements to improve healthcare delivery. The types of projects you will undertake include building risk identification and targeting algorithms that will support community health workers in their efforts to provide care where it is needed most. This position will be responsible for an end to end process, including problem scoping, data preparation (munging, cleaning, etc), preliminary exploration and analysis, model building, iteration and monitoring for quality and results. You will help define requirements for product enhancements to enable all users of the Cogniant to responsibly implement data science and machine learning tools.
The Data Scientist will present methods and findings to various stakeholders and will be expected to participate in writing publications. This position will also contribute to various data science partnerships, including preparing datasets, providing technical guidance, and incorporating results into Cogniant technology and practices.
Other Data Analysis (20%):
The Data Scientist will also conduct exploratory and targeted data analyses on strategic projects and questions across the organization, and communicate findings through data visualization and reports. The position will interface with the Cogniant Mobile Product team to establish new requirements and feature requests related to data accessibility.
We are looking for a Data Scientist with these qualities and qualifications:
-- Bachelor’s or Master’s degree with a focus in data science, computer science, mathematics, statistics, or other relevant quantitative disciplines.
-- 4+ years of relevant work experience. Strong background in mathematics and statistics.
-- Highly proficient with either R or Python.
-- Extensive experience with machine-learning and predictive modeling.
-- Experience querying large datasets and proficiency with relational databases, including PostgreSQL, and NoSQL databases.
-- Able to communicate complex data concepts and methods to a non-technical audience.
-- Diverse data analysis and data visualization experience.
-- Comfortable with independent, self-directed work.
-- Excited to get to know our end users, including community health workers.
-- Ability to collaborate with a distributed team, located around the world.
-- Bonus: experience conducting analysis in the field of Health Policy, Health Economics, Medical Informatics, or similar.
• The role is for 6 months contract - may turn into full time position post successful completion of contract