Médecins Sans Frontières
Organization
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Systems Department in the U.S. office of Doctors Without Borders/ Médecins Sans Frontières (MSF) is comprised of four technology teams: Digital Internal Operations, Product & Innovation, Infrastructure & Operations, and Helpdesk., Together they provide the vital products and services so that MSF-USA can achieve its ambitious new Strategic Plan (2022-2025).
Project
At MSF-USA, we are building a novel, modern engineering department dedicated to advancing humanitarian technology practices forward through innovation and building great products. The Software Engineer on the Product and Innovation Team will be responsible for development of technical architecture, including co-designing and generating innovative tools meant to drive engineering practices at MSF-USA.
This role involves building cross-departmental applications in line with our new strategic plan. That includes working in tandem with other engineers, the Technical Program Manager, and other members of the Systems department to decide on and implement novel engineering projects in alignment with MSF’s overall organizational strategy and delivers on MSF’s mission.
This role will be focused on effectively transitioning engineering practices at MSF-USA into an innovation-focused one though R&D and production-grade products. This transition will also require balancing new projects with existing maintained infrastructure. In both cases, having flexibility, assuming ownership and working iteratively on deliverables will be key to overall success.
Tasks
- Design and implement innovative engineering applications aimed towards strengthening technical capacity at MSF-USA
- Manage the full lifecycle of product ideation, technical build, and delivery to cross-organizational audiences
- Find and propose projects for advancing MSF USA in its data analysis infrastructure and practices
- Source external datasets for enriching and improving internal data reports
- Create data models in various styles (relational, dimensional, various sorts of non-relational)
- Advise on and implement best practices for data application architectures.
- Communicate end-to-end program development to technical and non-technical stakeholders
- Develop relationships with external innovation groups to expand team efficacy and practices
- Assess and recommend cloud architecture appropriate to a given software solution
- Mentor technical and non-technical collaborators
Qualifications
Required
- 4+ years of software engineering experience. Preference given to candidates with previous work experience in nonprofit organizations or with demonstrated knowledge of the sector.
- Strong understanding of the infrastructure required to enable complex data analysis, processing, and scientific applications
- Experience with one or more major cloud computing platforms (AWS, Google Cloud, Azure)
- Strong experience with R or the scientific Python libraries (Numpy, Pandas, Scikit-learn)
- Experience with data visualization, code based or through a platform
- An ability to express insights as a compelling and understandable story
- Familiarity with the concepts of Machine Learning and Deep Learning. Experience with relevant libraries is a bonus (TensorFlow, PyTorch, SparkML)
- Strong communication skills with both technical and non-technical stakeholders
- Comfort working in a collaborative, associative, and democratized team structure
- Passion for the mission and values of MSF
- A commitment to Diversity, Equity and Inclusion.
- Expected to work in a hybrid work environment with the ability to come into either the NYC office or regional hub (Washington, DC or Oakland, California) a minimum of 2 times a week.
Additional Considerations:
- The role is focused on emerging technologies and novel solutions, any familiarity with our current stack is a bonus. Lack of familiarity with any specific language or technology is not necessarily an issue. MSF is largely within the Azure/Microsoft environment, though we have expanded out.
- For data processing we favor: Python, Apache Airflow, dbt.
- For analysis / visualizations: R, Shiny, Python (typical scientific libraries)
- For end-user friendly visualizations we have used: Apache Superset, Metabase, Power BI.
- But there is always room to propose new technologies or tools if a good enough case can be made!
- Expected to work in a hybrid work environment with the ability to come into either the NYC office or regional hub (Washington, DC or Bay Area, California) a minimum of 2 times a week.
We offer a generous comprehensive benefits package inclusive of Wellness initiatives to support a healthy work life balance
No phone calls or emails please. Only shortlisted candidates will be contacted
Application Deadline: March 31, 2023
Your Safety Matters: Vaccination and booster against COVID-19 is a requirement at MSF – USA
Equal Employment Opportunity and Non-Discrimination:
MSF-USA is committed to building a diverse, unbiased, and inclusive workforce. MSF-USA is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in the Humanitarian Aid sector are encouraged to apply.
If you have a disability of some kind and are interested in applying for employment and need special accommodations to use our website to apply for a position, please contact Human Resources by emailing us: [email protected]. Reasonable accommodation requests are considered on a case-by-case basis.