Senior Software Engineer — GeneEase

Jouster

⌖ United KingdomUSD 50,000 – USD 75,000 / yearRemoteNot specified · Full-time

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Antarctica, Armenia, Australia, Austria, Azerbaijan, Bahrain, Bangladesh, Belarus, Belgium, Benin, Bhutan, Bosnia and Herzegovina, Botswana, Bouvet Island, British Indian Ocean Territory, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Central African Republic, Chad, China, Christmas Island, Cocos (Keeling) Islands, Comoros, Congo, Congo, The Democratic Republic of the, Cook Islands, Croatia, Curaçao, Cyprus, Czechia, Côte d'Ivoire, Denmark, Djibouti, Egypt, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Faroe Islands, Fiji, Finland, France, French Guiana, French Polynesia, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Guadeloupe, Guam, Guernsey, Guinea, Guinea-Bissau, Heard Island and McDonald Islands, Holy See (Vatican City State), Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Macao, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Micronesia, Federated States of, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Caledonia, New Zealand, Niger, Nigeria, Niue, Norfolk Island, North Macedonia, Northern Mariana Islands, Norway, Oman, Pakistan, Palau, Palestine, State of, Papua New Guinea, Philippines, Pitcairn, Poland, Portugal, Qatar, Romania, Russian Federation, Rwanda, Réunion, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Martin (French part), Saint Pierre and Miquelon, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Sint Maarten (Dutch part), Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Korea, South Sudan, Spain, Sri Lanka, Sudan, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Tonga, Tunisia, Turkey, Turkmenistan, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States Minor Outlying Islands, Uzbekistan, Vanuatu, Vietnam, Wallis and Futuna, Western Sahara, Yemen, Zambia, Zimbabwe, Åland Islands

About the role

GeneEase is a stealth-mode biotech startup building next-generation gene therapy solutions for subclinical health issues — beginning with overlooked and under-researched autoimmune responses, such as alcohol intolerance and other subtle immune dysregulations. We believe that personalized, precision medicine powered by AI can unlock treatments for millions who fall through the cracks of traditional diagnostics. We’re seeking a Senior Full-Stack Software Engineer to help us build our first product — a data-driven diagnostic and personalization platform that leverages AI and genetic data. This is a foundational role where you’ll shape both the technology and the culture of the company alongside a small, fast-moving team. 🔧 What You’ll Do Build core components of GeneEase’s diagnostic platform — from backend data pipelines to clean, usable frontends. Design and implement services that support genomic data ingestion, AI-driven insights, and personalized treatment recommendations. Collaborate closely with the Product Manager and fellow engineers to iterate quickly on prototypes and MVP features. Work hands-on with ML engineers to integrate models into the product stack. Contribute to architectural decisions that balance speed, reliability, and scalability. Help build cloud infrastructure (e.g., AWS, GCP, or similar) to support development and deployment of AI-powered features. Create and maintain APIs and internal tools that support both user-facing and data-science workflows. ✅ You Might Be a Fit If You Have 5+ years of software engineering experience, ideally in fast-paced or startup environments. Full-stack experience across backend, frontend, and cloud (exact stack is flexible). Experience with ML/AI model integration — working alongside data scientists or ML engineers. Strong background in APIs, data pipelines, and cloud infrastructure. Ability to take ownership of complex problems and turn them into clean, maintainable systems. Excitement about working in early-stage environments with high autonomy and ambiguity. ⭐️ Bonus Points For Prior experience working in health tech, bioinformatics, or diagnostics. Familiarity with genomics data formats (e.g., FASTA, VCF) or cloud-based ML workflows. Experience building products from zero-to-one — including greenfield architecture. 🌱 Why Join GeneEase? Help launch a first-of-its-kind diagnostic platform at the intersection of AI and gene therapy. Work closely with a world-class early team on meaningful, deeply technical challenges. Fully remote, async-friendly, and highly collaborative. A fast-moving, product-first culture that values speed, integrity, and scientific rigor. Originally posted on Himalayas

Skills mentioned in the listing

AWSGoogle Cloud

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

AWS · mentioned
e speed, reliability, and scalability. Help build cloud infrastructure (e.g., AWS, GCP, or similar) to support development and deployment of AI-powered features. Create and maintain APIs and internal tools that suppo

Google Cloud · mentioned
ed, reliability, and scalability. Help build cloud infrastructure (e.g., AWS, GCP, or similar) to support development and deployment of AI-powered features. Create and maintain APIs and internal tools that support bo