# Research Engineer - Post-Training

Helical is building the in-silico labs for biology Drug discovery still relies on wet labs: slow, expensive, and constrained by physical trial-and-error. Helical is changing that. We build the application layer that makes Bio Foundation Models usable in real-world drug discovery, enabling pharma and biotech teams to run millions of virtual experiments in days, not years. Today, leading global pharma companies already use Helical, and we’re at the start of a highly ambitious growth journey. We’re a founder-led, talent-dense team building a category-defining company from Europe. We care deeply about the quality of our work, move fast, and expect ownership. If you’re excited by complexity, real responsibility, and shaping how a company actually operates as it scales, you’ll feel at home here. At Helical, we’re focused on leveraging research to transform the future of drug discovery. We are seeking an Applied Research Engineer - Post-Training to join our team, focusing on maximizing the performance of cutting-edge foundation models in real-world applications. Your Role You will own the full post-training lifecycle for biological foundation models-from alignment strategy to production d

- **Id**: 1202948
- **Url**: <https://alion.io/job/helical-research-engineer-post-training>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: London, United Kingdom, Luxembourg City, Luxembourg
- **Countries**: GB, LU
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-24T22:10:03Z
- **Employer posted date**: 2026-09-24
- **Last verified at**: 2026-11-12T00:20:30Z
- **Board verified**: yes
- **Days open**: 48
- **Description format**: text
- **Description chars**: 4208
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Drug Discovery, Drug Discovery AI

## Company

- **Id**: 680289
- **Name**: Helical
- **Domain**: helical.bio
- **Url**: <https://alion.io/company/helical>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Workable

## Salary estimate

- **Min usd**: 80000
- **Max usd**: 212000
- **Period**: year
- **Method**: role_country_seniority_unknown
- **Sample n**: 168

## Technologies

- **DPO** — Optional: no
- **LoRA** — Optional: no
- **Machine Learning** — Optional: no
- **Post-training** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **RLHF** — Optional: no
- **SFT** — Optional: no
- **DeepSpeed** — Optional: yes
- **FSDP** — Optional: yes
- **NCCL** — Optional: yes
- **PEFT** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 48

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-09-24T22:10:03Z

## Visa

- Country: GB; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: Licensed UK visa sponsor (Skilled Worker); Route: Skilled Worker

## Liveness

- **Score**: 23
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.505
- **P room**: 0.45
- **Age days**: 47
- **Expected fill days**: 25
- **Reasons**: conf:1, win:tail
- **Computed at**: 2026-11-11T05:49:22Z

---
[Page](https://alion.io/job/helical-research-engineer-post-training) · [JSON](https://alion.io/job/helical-research-engineer-post-training.json)

Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.