Lediga jobb IONLACE AB i Solna

We are rebels
IONLACE is a place for rebels. We are on a mission to rewrite the timelines of breakthroughs in medicine.
You will be joining a team with experience from leading biotechnology companies and institutions across the world. You will be working at the cutting edge of machine learning and synthetic biology. We operate as a fast-paced startup with our office and lab at the Karolinska Institute in Stockholm. Join us and build the future.


About the role
We’re looking for a Senior Computational Protein Engineer who combines deep protein engineering expertise with modern machine learning. In this role, you’ll apply and evaluate state-of-the-art AI models using proprietary datasets, rigorously analyze their outputs, and help prioritize the most promising designs for rapid experimental validation. You will be independently executing the design efforts of our protein engineering projects.


Responsibilities
Structural Bioinformatics
Apply tools and methods including structure prediction, sequence design, docking, homology modeling, and physics-based simulation. Use structure-based metrics (e.g., pLDDT, RMSD, interface energies) to analyze and prioritize in silico designs.
Data Engineering
Build, clean, and annotate large biologics datasets for model training, benchmarking, and continual learning.
Model Fine?Tuning & Evaluation
Fine-tune ML models, design meaningful benchmarks, run hyperparameter sweeps, and assess model performance across stability, affinity, and developability.
Cross?Functional Collaboration
Work closely with ML engineers to integrate data and models into production pipelines, and with wet-lab scientists to iterate quickly on experimental feedback.
Platform Innovation
Prototype new functionality by extending model architectures and feature representations.



Qualifications
Technical Expertise
BSc in Biology, Biochemistry, or a related field and a PhD in Computational Biology, Bioinformatics, ML-for-Biology, or equivalent experience.


Strong programming skills in Python, with a demonstrated ability to apply deep learning and classical ML to protein engineering challenges.
Deep understanding of protein sequence and structure, with experience in 3D modeling, functional analysis, and protein-protein interaction analysis.
Demonstrated capabilities in protein engineering campaigns and can drive outcomes individually.

Data Curation & Bioinformatics
Experience assembling and managing large-scale biological datasets, including sequence, structure, and assay metadata.


Familiarity with multiple sequence alignment (MSA), PDB handling, and feature extraction workflows.

ML Integration
Hands-on experience fine-tuning ML models for protein design or related tasks.


Comfortable working with modern MLOps stacks (Docker, Kubernetes, CI/CD, GitHub) to deploy and monitor models.

Execution & Ownership
Proven ability to thrive in a fast-paced, ambiguous environment—taking projects from concept to production.


Clear and effective communicator across computational and experimental disciplines.

Nice-to-Have
Experience with generative protein design methods (e.g., diffusion models, graph neural networks).


Contributions to open-source bio/ML projects or peer-reviewed publications in protein engineering.

Process
We review applications on a rolling basis—please submit yours as early as possible. Our team aims to respond within 2 weeks.
Hiring Steps:
Initial phone screen (15 minutes) – a short introductory call with a team member.


Main selection process:
Two 1:1 interviews focused on technical expertise and team fit


A technical interview with a representative task (including a brief presentation)
A culture fit interview, including a 20-minute presentation to a cross-functional audience



We aim to complete the full process within 4 weeks. All interviews are conducted via Google Meet. We do not use external recruiters.
IONLACE is an equal opportunity employer and we actively seek to create a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of their background.
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The Bigger Picture
Our mission is to build foundational technologies to advance human health.
We believe rebels dare to question the status quo. Rebels solve the impossible. Rebels build the breakthroughs that define our future. We are rebels.
You'll be joining a team who has worked on the frontier of machine learning and synthetic biology at Google X, Stanford, UCSF, KTH, Thermo Fisher, and Enveda Biosciences. Our team is focused on accelerating the science of human health and ultimately change the trajectory of humanity. Join us and build the future.
The Role
We are excited to offer an opportunity for a Machine Learning Engineer to join our fast-moving tech team. This role is ideal for a newly graduated master’s student from top-tier universities or programs in Stockholm or Copenhagen, who is passionate about machine learning and eager to dive into the world of digital biology.
As a New Grad Machine Learning Engineer, you will be working alongside experienced professionals to develop state-of-the-art machine learning models that contribute to groundbreaking advancements in digital biology. This role requires a blend of strong coding skills, a keen willingness to learn, and a genuine interest in digital biology.
Responsibilities
Assist in the development and enhancement of machine learning models, including protein language models and geometric ML models.
Actively learn and engage with interdisciplinary teams, including biochemists, molecular biologists, data scientists, and software developers, to understand and integrate biological insights into ML solutions.
Demonstrate eagerness to learn and apply new techniques and methodologies in machine learning and computational biology.
Participate in coding and model development tasks, contributing to the team’s efforts in innovation and technical excellence.
Show initiative and enthusiasm in taking on new challenges and learning opportunities within the field.

Qualifications
Recent Master’s degree in Computer Science, Engineering, Natural Sciences, or a related field, preferably from a top-tier university or program.
Some experience in machine learning, coding, and data analysis, with a willingness to expand knowledge and skills in these areas.
Strong programming skills, particularly in Python.
An interest in computational biology; willingness to learn and excel in this domain is essential.
Good problem-solving abilities and a proactive approach to learning and development.
Effective communication skills, with the ability to work collaboratively in a fast-paced, interdisciplinary environment.

Application process
The selection and interview process is ongoing. Please send your application to [email protected].
We look forward to learning more about you!
IONLACE is an equal opportunity employer and we actively seek to create a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of their background.Join on our mission to reimagine the relationship between technology and biology. Visa mindre

The Bigger Picture
Our mission is to build foundational technologies to advance human health.
We believe rebels dare to question the status quo. Rebels solve the impossible. Rebels build the breakthroughs that define our future. We are rebels.
You'll be joining a team who has worked on the frontier of machine learning and synthetic biology at Google X, Stanford, UCSF, KTH, Thermo Fisher, and Enveda Biosciences. Our team is focused on accelerating the science of human health and ultimately change the trajectory of humanity. Join us and build the future.
The Role
We are looking for a creative Scientist to join our Protein Science team. You will work closely with members of our technical team to provide feedback and brainstorm on novel ways to integrate technology with the biological capabilities we are developing. In this role you will be given the opportunity to truly drive innovations from start to finish, typically with tight deadlines and complex coordination exercises.
This role is available at our HQ and lab facilities at the Karolinska Institute in Stockholm.
Key Responsibilities
Drive the development of in-house protein expression capabilities with a range of expression systems.
Independently conduct end-to-end protein expression experiments starting from DNA preparation to protein purification.
Coordinate and collaborate with stakeholders from across the organization, including management team and technical platform teams.
Drive cutting-edge innovation and follow best practices in research.

Qualifications
Advanced degree (PhD or equivalent experience) in Protein Science, Natural Sciences, or a related field.
Experience working independently with a wide range of protein expression systems for small scale and large scale production.
A strong ability to think from first principles while troubleshooting failed experiments or deriving novel ideas.
Exposure to lab automation for high-throughput experimentation is a plus.
Experience working with data scientists or ML practitioners is a plus.
Effective communicator, problem solver, and collaborator with both technical and scientific teams.
Ability to own your work and drive outcomes in a fast-paced startup environment.

Application process
The selection and interview process is ongoing. Please send your application to [email protected].
We look forward to learning more about you!
IONLACE is an equal opportunity employer and we actively seek to create a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of their background.Join on our mission to reimagine the relationship between technology and biology. Visa mindre

The Bigger Picture
Our mission is to build foundational technologies to advance human health.
We believe rebels dare to question the status quo. Rebels solve the impossible. Rebels build the breakthroughs that define our future. We are rebels.
You'll be joining a team who has worked on the frontier of machine learning and synthetic biology at Google X, Stanford, UCSF, KTH, Thermo Fisher, and Enveda Biosciences. Our team is focused on accelerating the science of human health and ultimately change the trajectory of humanity. Join us and build the future.
The Role
We are looking for a creative Scientist to join our Assay Development team. You will develop and drive novel initiatives in the Assay Development team. You will own projects from inception to completion while coordinating with stakeholders across the organization. You will work closely with members of our technical team to provide feedback and brainstorm on novel ways to integrate technology with the biological capabilities we are developing. In this role you will be given the opportunity to truly drive innovations from start to finish, typically with tight deadlines and complex coordination exercises.
This role is available at our HQ and lab facilities at the Karolinska Institute in Stockholm.
Key Responsibilities
Drive proteomics assay development efforts from inception to completion, not limited to ideation, wet lab execution, data analysis and scale up.
Coordinate and collaborate with stakeholders from across the organization, including management team and technical platform teams.
Drive cutting-edge innovation and follow best practices in research.

Qualifications
Advanced degree (PhD or equivalent experience) in Molecular Biology, Natural Sciences, or a related field.
Experience working with high-throughput assay development e.g., novel immunoassays, NGS and display technologies.
A strong ability to think from first principles while troubleshooting failed experiments or deriving novel ideas.
Exposure to lab automation for high-throughput experimentation is a plus.
Experience working with data scientists or ML practitioners is a plus.
Effective communicator, problem solver, and collaborator with both technical and scientific teams.
Ability to own your work and drive outcomes in a fast-paced startup environment.

Application process
The selection and interview process is ongoing. Please send your application to [email protected].
We look forward to learning more about you!
IONLACE is an equal opportunity employer and we actively seek to create a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of their background.Join on our mission to reimagine the relationship between technology and biology. Visa mindre

The Bigger Picture
We're an early-stage startup working at the intersection of AI and synthetic biology. We offer a unique workplace and culture that rejects small outcome thinking. Our culture is defined by a strong focus on real-world impact, innovation and speed of execution.
Join us on our mission to reimagine the relationship between technology and biology.
The Role
You will join our Computational Biology team as a Data Scientist. You will work closely with other members of the team to build robust data infrastructure and data/ML pipelines. This is a highly versatile role that requires handling of various biological datasets, machine learning models and associated infrastructure for training and inference.
You will also work closely with members of our experimental team to bridge technical- and wet lab operations at the company.
To thrive in this role, you likely have:
a Ph.D. in Computational Biology, or a related discipline, with relevant academic and/or industrial experience.
extensive experience developing and/or applying ML systems for biological applications
extensive experience working with various biological datasets at scale
experience working with different machine learning architectures and state-of-the-art models

You will also benefit from having:
excellent communication skills
an ability to think from first principles and innovate your way around bottlenecks in any relevant workflow
a drive to keep up with the continuous and rapid changes in the space
a preference for a dynamic and fast-paced work environment with high agency

Application process
The selection and interview process is ongoing. Please send your application to [email protected].
We look forward to learning more about you! Visa mindre