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About the company

Adia makes clinicians better diagnosticians.

Adia is set to revolutionize the diagnostic process for both doctors and patients. Leveraging our extensive knowledge and experience in medicine, coupled with advanced technology and AI, we aim to improve diagnostic accuracy while also reducing and optimizing costs. This leads to more satisfied patients, efficient doctors, and less financial burden for all involved. 

Adia enables advanced clinical decision support (CDS) and guides lab test selection and result interpretation by using patient’s data and clinical context. On top of that Adia changes how healthcare providers get paid by combining predictive and guiding diagnostic decisions with medical claim factoring that advances payments to providers. The whole medical journey is getting automated. 

By effectively "underwriting" medical services to confirm payment eligibility from health plans, Adia ensures real-time payments to providers. This frees providers from the uncertainties of payer reimbursements, enabling predictable cash flow for better business management and patient care. 

Adia commits to building products with the latest technology, finest predictive models, LLMs, a comprehensive medical Knowledge Graph, and more.

Visit our website: https://www.adia.ai/

To achieve that we need to build a world-class Financial platform, which can perform financial projections for a lab order in matter of milliseconds and move money between all healthcare actors involved with traceability in place.

What you'll be doing

The ideal candidate will be responsible for managing and inspiring his or her team to achieve their performance metrics. Your collaborative attitude and interpersonal skills will help you thrive as an Engineering Manager.

You will be in charge of building the Financial platform team from scratch. This team will be responsible for covering “Revenue cycle management” and “Money movement” product areas.

Your first 90 days

• Your first two weeks will focus on onboarding. You'll work on small coding tasks to learn our tech stack, system architecture, and medical domain basics.
• Next month, you will collaborate with the Product Manager to develop a comprehensive team roadmap and initiate the recruitment process for essential team members.
• By the end of your third month, you'll have a common managerial routine, including team rituals, one-on-one meetings, planning for future product cycles, and active participation in management team initiatives.

Primary Responsibilities

• Hiring great talent and adjusting hiring process to meet team’s needs.
• Planning together with the team a roadmap for product cycles.
• Manage, coach, and support engineering team. Coaching and growing engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention.
• Providing feedback on product and technical specs to help engineers identify where to cut scope or improve quality.
• Fixing small bugs or doing small improvements to our tech stack while staying off the critical path.
• Communicate team goals and ensure project timelines are met

Requirements

• At least 12+ years experience in Software development roles
• 3+ years' experience as Engineering manager.
• 5+ years experience as Lead Engineer.
• Proficiency in Node.js, JavaScript, TypeScript, PostgreSQL, NoSQL and Cloud
• Self motivated , thought leader with proven Engineering leadership skills
• US Health care domain expertise is preferred
• Fintech and exposure to payment gateway systems will be added advantage

As the Implementation Lead/Manager, you will be at the forefront of ensuring a seamless onboarding experience for our clients. You will play a critical role in understanding client needs, managing project timelines, and collaborating with cross-functional teams to deliver a high-quality onboarding experience.

Key Responsibilities:

• Client Onboarding:

Lead end-to-end implementation projects, ensuring a smooth transition from the sales phase to successful system deployment.

Collaborate with sales and account management teams to understand client requirements and expectations.

• Project Planning:

Develop and execute detailed project plans, outlining tasks, milestones, and deliverables. Define project scope, objectives, and success criteria in collaboration with clients.

• Stakeholder Collaboration:

Work closely with internal teams, including product development, support, and training, to ensure coordinated efforts in meeting client needs. Serve as the primary point of contact for clients during the implementation phase.

• Configuration and Customization:

Oversee the configuration of HR Tech SAAS solutions to meet client-specific requirements. Coordinate with the technical team to ensure proper customization and integration of the system.

• Training and Support:

Conduct training sessions for client teams to ensure effective utilization of the HR Tech SAAS products. Provide ongoing support during and after the implementation phase to address client inquiries and issues.

• Quality Assurance:

Implement quality assurance processes to verify that the configured solutions meet client expectations. Conduct thorough testing and validation of system functionalities.

• Communication:

Maintain clear and regular communication with clients, updating them on project progress, timelines, and any potential challenges. Manage expectations and address concerns promptly to ensure a positive client experience.

• Documentation:

Create and maintain comprehensive documentation related to the implementation process, configurations, and client-specific details.

Develop user manuals and guides as needed.

• Post-Implementation Review:

Conduct post-implementation reviews to gather feedback, assess project success, and identify areas for improvement. Collaborate with product development teams to relay client feedback for future enhancements.

You are a desired candidate if you have:

• Proven experience in leading successful implementations of HR Tech SAAS solutions.
• Strong project management skills with the ability to manage multiple client implementations simultaneously.
• In-depth understanding of HR processes and workflows.
• Technical acumen, including familiarity with system configurations and integrations.
• Excellent communication and interpersonal skills, with the ability to build strong client relationships.
• Problem-solving mindset and the ability to navigate complex client requirements.
• Knowledge of quality assurance processes and testing methodologies.
• Training experience, including the development and delivery of training programs.
• Detail-oriented with a focus on delivering high-quality solutions on time.

Our Tech stack:

· Java 11, Spring Boot, React.JS

· MySQL, Redis, Elastic Stack, MongoDB

· Docker, K8s

· GitHub, Jenkins

· Slack, Jira

What we're looking for:

· Minimum of 5 years of experience as a software developer.

· Excellent knowledge of Java.

· Demonstrated skills in web-based development, including REST API s and JS frameworks such as Vue JS/React.

· Experienced with cloud platforms (AWS / GCP).

· Experienced with SQL and NoSQL databases.

· Experienced with CI/CD environments.

· Familiar with container technologies (Docker, Kubernetes).

· Proficient in agile programming practices.

· Strong analytical mind with a good dose of creativity.

· Meticulous person who strives to constantly improve his/her/their competencies.

· Excellent communication skills.

Nice-to-haves:

· Familiarity with Web sockets.

· Has contributed to open source projects and can point us to his/her/their GitHub account.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics