Job summary
Job post source
This job is from a recruiting firm hiring for a separate company based on the contract nature and rate details provided.
Job overview
The Sr AI Data Engineer role involves designing AI solution architectures and developing algorithms for clinical trial data analysis to impact healthcare outcomes in Project Acuity.
Responsibilities and impact
The candidate will design AI solution architectures, develop scoring algorithms, categorize medical data, collaborate with teams, ensure data security and compliance, optimize workflows, and mentor junior members.
Compensation and benefits
The position offers a 6+ month contract with a 1099 rate of $57/hr and a W2 rate of $47/hr, with no additional benefits mentioned.
Experience and skills
Requires a Bachelor's or Master's in Computer Science, Data Science, AI or related field, 5+ years experience, proficiency in Python, R, or Java, cloud platform and big data technology experience, and familiarity with healthcare data regulations; healthcare industry experience and AI certifications are preferred.
Job location and travel
Remote position based in Pittsburgh, PA.
Unique job features
The role involves working on Project Acuity with a focus on AI in healthcare, offering technical leadership and exposure to clinical trial data analytics.
Company overview
Cognisol is an ISO 9001:2015 certified company specializing in custom product and software development, delivering innovative and futuristic solutions across various industries. Established in 2021 and headquartered in Hyderabad, Telangana, India, the company focuses on IT consulting, web development, cloud management, and application development services. Cognisol is known for its commitment to excellence and innovation, catering to global clients with cutting-edge technologies. Founded by Srikanth J, who serves as the CEO, the company has rapidly grown to become a key player in the IT and software services sector.
How to land this job
Position your resume to highlight your expertise in AI data engineering, focusing on solution architecture for AI use cases, especially within healthcare or clinical trials contexts.
Emphasize your proficiency in Python, R, Java, and experience with cloud platforms like AWS, Azure, and GCP, as well as big data technologies such as Hadoop and Spark, aligning with the job's technical requirements.
Apply through multiple channels including Cognisol's corporate website, LinkedIn job postings, and specialized contract job boards to maximize your application visibility.
Connect with current AI or data engineering professionals at Cognisol on LinkedIn to gain insights about Project Acuity and the team's culture; use ice breakers like commenting on recent AI initiatives at Cognisol or asking about challenges in integrating AI solutions in healthcare.
Optimize your resume for ATS by incorporating keywords from the job description such as 'AI Data Engineer,' 'solution architecture,' 'clinical trials,' 'HIPAA compliance,' 'NLP,' and specific technologies like 'Python,' 'Spark,' and 'Azure' to ensure it passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, find relevant job posting sites, and identify LinkedIn connections to network with, allowing you to focus your energy on interview preparation and skill enhancement.
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