Technical Project Manager

Preferred from Startup/Mid level company

Artelus is at the forefront of revolutionizing healthcare with cutting-edge AI and portable

medical devices designed to diagnose retinal abnormalities.

With a mission to democratize healthcare, we aim to make it accurate, affordable,

accessible, and available globally.

Join us in our journey to create a world without blindness.

Job Description (Responsibilities):

1. *Technical Skills

1.

 >Understanding of Software Development and Infrastructure: Knowledge of

programming languages, APIs, databases, and software development lifecycle (SDLC)

methods such as Agile, Scrum, and Waterfall.

1.Machine Learning and Data Science Fundamentals:

Basic understanding of machine learning concepts, model lifecycle management, data

preprocessing, model evaluation metrics, and common frameworks (e.g., TensorFlow, PyTorch)

1. >System Architecture and Design: Ability to understand and guide high-level system

designs and architectures.

1. >Medical Device Standards and Regulations: Familiarity with regulations like ISO

13485 for medical device quality management, ISO 14971 for risk management, and

FDA or CE marking processes for medical devices.

1. >Product Knowledge: In-depth understanding of the specific technology or domain

they’re working within, such as cloud computing, AI, or cybersecurity.

1. >Tools Proficiency: Familiarity with project management tools (e.g., JIRA, Asana, MS

Project), as well as DevOps tools for CI/CD pipelines, version control, and

collaboration.

1.

2. Project Management Skills:

1. >Project Planning and Execution: Competence in creating project timelines, resource

allocations, budgets, and monitoring progress.

1. >Testing and Validation: Ability to oversee rigorous testing, validation, and

verification phases, ensuring the device/software meets clinical and quality standards.

1. >Risk Management: Ability to identify, analyze, and mitigate risks, as well as

troubleshoot issues as they arise.

1. >Scope and Requirement Management: Skill in defining project scope, managing

requirements, and handling scope changes effectively.

1. >Resource Management: Experience in allocating and managing resources, balancing

workload, and optimizing productivity.

1. >Documentation and Traceability: Meticulous documentation practices to meet

regulatory compliance for traceability, risk assessments, and audit readiness.

1. >Data and Model Governance: Knowledge of governance practices specific to

machine learning, including data lineage, privacy requirements (e.g., HIPAA, GDPR),

and version control for datasets and models.

1.

1. 3. Communication Skills:

1. >Stakeholder Communication: Ability to communicate effectively with various

stakeholders, including technical teams, executives, and clients, translating technical

details into clear updates.

1. >Cross-Functional Collaboration: Skill in fostering collaboration between different

teams, such as development, QA, design, and operations.

1. >Conflict Resolution: Techniques to mediate and resolve conflicts, especially when

teams have competing priorities.

1. 4. Analytical and Problem-Solving Skills:

1. >Critical Thinking: Analyzing complex situations, weighing various factors, and making

informed decisions.

1. >Data-Driven Decision Making: Use of data to measure progress, make adjustments,

and ensure project milestones are met.

1. >Adaptability: Quick assessment and response to changing project demands or

technology advancements.

1. 5. Leadership and Team Management:

1. >Motivation and Delegation: Ability to motivate team members, delegate tasks

effectively, and foster a collaborative environment.

1. >Performance Management: Setting team goals, evaluating, and providing

constructive feedback.

1. >Empathy and Emotional Intelligence: Understanding and managing team dynamics,

especially in high-stress environments.

1. >Compliance and Quality-Centric Culture: Creating a culture of compliance and

continuous quality improvement in line with medical device standards.

1. 6. Budgeting and Cost Management:

1.

1. >Financial Planning: Experience with budget estimation, tracking costs, and managing

project budgets within constraints.

1. >Cost-Benefit Analysis: Skill in assessing project investments versus returns,

optimizing resource allocation for cost efficiency.

1. > Knowledge of Compliance and Standards

1. >Regulatory Compliance: Familiarity with compliance standards relevant to the

project, like ISO, GDPR, HIPAA, or industry-specific certifications.

1. >Quality Assurance: Ensuring deliverables meet specified quality standards and

are aligned with best practices.

7. Knowledge of Compliance and Standards

1. Regulatory Compliance: Familiarity with compliance standards relevant to the

project, like ISO, GDPR, HIPAA, or industry-specific certifications.

1. Quality Assurance: Ensuring deliverables meet specified quality standards and are

aligned with best practices.

Educational Qualification- Bachelor's Degree/Master's degree in computer science,

Engineering, Information Technology, or a related field.

Experience- 8 to 10 Years of experience

Salary- As per the market Standard

Preferred candidate- Candidate who wanted to shift to Kolkata/Candidate who has experience

at a Startup or working at a Startup Company currently.

Preferred from Startup/Mid level company

Artelus is at the forefront of revolutionizing healthcare with cutting-edge AI and portable

medical devices designed to diagnose retinal abnormalities.

With a mission to democratize healthcare, we aim to make it accurate, affordable,

accessible, and available globally.

Join us in our journey to create a world without blindness.

Job Description (Responsibilities):

1. *Technical Skills

1.

 >Understanding of Software Development and Infrastructure: Knowledge of

programming languages, APIs, databases, and software development lifecycle (SDLC)

methods such as Agile, Scrum, and Waterfall.

1.Machine Learning and Data Science Fundamentals:

Basic understanding of machine learning concepts, model lifecycle management, data

preprocessing, model evaluation metrics, and common frameworks (e.g., TensorFlow, PyTorch)

1. >System Architecture and Design: Ability to understand and guide high-level system

designs and architectures.

1. >Medical Device Standards and Regulations: Familiarity with regulations like ISO

13485 for medical device quality management, ISO 14971 for risk management, and

FDA or CE marking processes for medical devices.

1. >Product Knowledge: In-depth understanding of the specific technology or domain

they’re working within, such as cloud computing, AI, or cybersecurity.

1. >Tools Proficiency: Familiarity with project management tools (e.g., JIRA, Asana, MS

Project), as well as DevOps tools for CI/CD pipelines, version control, and

collaboration.

1.

2. Project Management Skills:

1. >Project Planning and Execution: Competence in creating project timelines, resource

allocations, budgets, and monitoring progress.

1. >Testing and Validation: Ability to oversee rigorous testing, validation, and

verification phases, ensuring the device/software meets clinical and quality standards.

1. >Risk Management: Ability to identify, analyze, and mitigate risks, as well as

troubleshoot issues as they arise.

1. >Scope and Requirement Management: Skill in defining project scope, managing

requirements, and handling scope changes effectively.

1. >Resource Management: Experience in allocating and managing resources, balancing

workload, and optimizing productivity.

1. >Documentation and Traceability: Meticulous documentation practices to meet

regulatory compliance for traceability, risk assessments, and audit readiness.

1. >Data and Model Governance: Knowledge of governance practices specific to

machine learning, including data lineage, privacy requirements (e.g., HIPAA, GDPR),

and version control for datasets and models.

1.

1. 3. Communication Skills:

1. >Stakeholder Communication: Ability to communicate effectively with various

stakeholders, including technical teams, executives, and clients, translating technical

details into clear updates.

1. >Cross-Functional Collaboration: Skill in fostering collaboration between different

teams, such as development, QA, design, and operations.

1. >Conflict Resolution: Techniques to mediate and resolve conflicts, especially when

teams have competing priorities.

1. 4. Analytical and Problem-Solving Skills:

1. >Critical Thinking: Analyzing complex situations, weighing various factors, and making

informed decisions.

1. >Data-Driven Decision Making: Use of data to measure progress, make adjustments,

and ensure project milestones are met.

1. >Adaptability: Quick assessment and response to changing project demands or

technology advancements.

1. 5. Leadership and Team Management:

1. >Motivation and Delegation: Ability to motivate team members, delegate tasks

effectively, and foster a collaborative environment.

1. >Performance Management: Setting team goals, evaluating, and providing

constructive feedback.

1. >Empathy and Emotional Intelligence: Understanding and managing team dynamics,

especially in high-stress environments.

1. >Compliance and Quality-Centric Culture: Creating a culture of compliance and

continuous quality improvement in line with medical device standards.

1. 6. Budgeting and Cost Management:

1.

1. >Financial Planning: Experience with budget estimation, tracking costs, and managing

project budgets within constraints.

1. >Cost-Benefit Analysis: Skill in assessing project investments versus returns,

optimizing resource allocation for cost efficiency.

1. > Knowledge of Compliance and Standards

1. >Regulatory Compliance: Familiarity with compliance standards relevant to the

project, like ISO, GDPR, HIPAA, or industry-specific certifications.

1. >Quality Assurance: Ensuring deliverables meet specified quality standards and

are aligned with best practices.

7. Knowledge of Compliance and Standards

1. Regulatory Compliance: Familiarity with compliance standards relevant to the

project, like ISO, GDPR, HIPAA, or industry-specific certifications.

1. Quality Assurance: Ensuring deliverables meet specified quality standards and are

aligned with best practices.

Educational Qualification- Bachelor's Degree/Master's degree in computer science,

Engineering, Information Technology, or a related field.

Experience- 8 to 10 Years of experience

Salary- As per the market Standard

Preferred candidate- Candidate who wanted to shift to Kolkata/Candidate who has experience

at a Startup or working at a Startup Company currently.