Position: Principal Applied Scientist, HealthTech
Company: Neurons Lab
Category: Data Science
Experience required: 5y
English level: fluent
Published: 2022-12-01T00:00:00+02:00

**About project**

Typical projects in the areas: Remote Patient Monitoring (Biosignals, Sensors and IoT, Video Control); Wellness and Mental Health (Nutrition & Weight Control, Physical Activity, Mental and Work Wellness); Health Analytics (Descriptive Analytics, Diagnostic Health Analytics, Predictive Health Analytics, Prescriptive Analytics)

**Duration**: 3-12 months
Stage: discovery / development / deployment / support

**Challenges & Responsibilities**

- assist Business Development Manager and Head of Practice & Partner in the pre-sales stage (technical and product-related questions on the scoping calls, epics, workload estimation, negotiations, expertise demonstration, etc.)
- work closely with ML Product Manager, Product Owner and ML Delivery Manager, and other project stakeholders to identify business needs and gather requirements for AI/ML solutions or features
- develop AI products and solutions in a broad sense, i.e. taking a project from an initial state and bringing it to the level of operational performance
- lead a team of highly skilled professionals to create and maintain world-class data products
- interact cross-functionally with a wide variety of leaders and teams, and work closely with the Product Owner, ML Delivery Manager, ML Product Manager
- control the technical performance, conduct code, and quality review
- lead solution architecture development and ensure its flexibility and sustainability
- communicate the progress to the customer with the Product Owner and ML Delivery Manager
- Advise the client on technology / product / business within the competence
- be a clear and confident communicator presenting to and engaging effectively across all levels of seniority with solid and effective written and verbal communication skills
- best practices and AI/ML Handbook development
- adopt best R&D and engineering practices to provide high-quality technical delivery and high productivity for engineering teams
- determine technical team staffing needs that are specific to the project
- participate in the interviews with candidates to check their hard and soft skills
- recognize achievements of the team members and motivate desired behavior

**Skills**

- leadership, trust development, proactivity
- innovative thinking, experimental mindset, systemic thinking, curiosity
- verbal communication, active listening
- fast decision-making, risk-taking
- negotiation, conflict management
- coordination, cooperation, delegation, time management
- empathy, coaching, constructive feedback
- Industry domain, AI expertise, AI/ML technologies
- Fluent English
- leading and building AI/ML solutions through its entire life cycle; and delivering tangible business value for clients
- good presentation and communication skills with a knack for explaining complex analytical concepts to people from other fields (data/model storytelling)
- strong analytics skills and a high capacity for conceptual thinking
- build, maintain, and support the complicated subsystem
- take responsibility for built-in quality
- customer-centricity
- develop on cadence, release on demand
- collaborate with stream-aligned teams (another supplier or customer’s team)
- develop appropriate technical interfaces (well documented, easy to use)
- DevOps/MLOps and continuous delivery pipeline
- plan and prioritize effectively (optional, depends on the project)
- startup development frameworks
- methodical yet creative problem solving

**Knowledge**

- MSc / Ph.D. degree in the HealthTech-related domains: Medicine / Pharma /Biology / Chemistry / Bioinformatics / Biophysics / Biotechnologies etc.
- In-depth Machine Learning / Artificial Intelleget knowledge in the HealthTech industry
- State-of-the-art business and technology trends

**Experience**

- Research and Development in HealthTech-related domains 10+ years
- AI and Machine learning solutions delivery in domain 5+years
- Project / Team tech leadership 5+years
- Publications and public speeches track record

**We Offer**

- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with rock stars (senior-level engineers, Ph.D.)
- Meaningful social and environmental projects
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Paid unlimited personal time off
- Regular Team Building & company-wide team events