Amgen filed two documents on the same day: one announcing a retirement, the other disclosing a restructuring that created two new executive roles around AI — and put a scientist who once gave away a drug compound in charge of both.
When Amgen announced David Reese's retirement on April 22, the press release described a chief scientist stepping down after 21 years. The company's SEC filing, also dated April 22, described something different: a restructuring that created two new executive positions on the same day, both effective June 1, with AI and data authority concentrated in one of them.
That simultaneous filing — one document announcing a departure, another disclosing a reorganization — is the actual story. James Bradner, a physician-scientist who once released a promising drug compound without patenting it, is taking over as executive vice president of Research, Development, and Medical, with Artificial Intelligence and Data reporting directly to him. Sean Bruich, a senior vice president and Chief Technology Officer, is a new role built around keeping Amgen's computational infrastructure running. Reese, who had been running R&D since 2018 and then the CTO function, retires June 30. One new job absorbed what he built. The other was built around the machine.
Bradner's appointment stands out because of what he did before Amgen, not what he did inside it. At Novartis, his lab discovered JQ1, a bromodomain inhibitor that became a widely used research tool. Rather than patent it, Bradner released JQ1 without restrictions — a decision still cited at open-source biology conferences as a rare instance of a pharma researcher choosing dissemination over IP protection. The compound generated a wave of follow-on research and clinical trials without Novartis controlling the terms. Amgen hired him anyway, and now has put him in charge of its AI-first research culture.
Whether that culture exists yet is the open question. Reese spent years building the infrastructure to support it. Amgen co-developed AMPLIFY, a protein language model, with Mila, the Quebec-based AI research institute, and released the model's code publicly in December 2025 under an Apache 2.0 license. The company's generative biology platform, which uses AMPLIFY to guide protein engineering, has cut discovery timelines roughly in half in programs where it has been deployed, Amgen wrote in a December 2025 blog post. Amgen also built a machine learning model that predicts with approximately 80 percent accuracy whether a given molecule will behave acceptably in an injectable formulation — an unglamorous problem that routinely kills drug candidates late in development. The company partnered with NVIDIA on computational infrastructure, acquiring GPU capacity that remains difficult to obtain.
Reese called 2025 a "hinge moment, merging tech and biotech" in an August blog post. The reorganization has made that metaphor literal. Bradner's mandate is to make AI-first discovery the default mode inside a research culture that spent two decades rewarding certainty and IP protection over openness. AMPLIFY is open source. The molecules it helps design are not. That tension does not yet have an answer inside Amgen — it has an executive whose career suggests he knows the question is worth asking.
Bruich's role appears designed to keep that question from consuming Bradner's attention. His job is the infrastructure: the GPUs, the model pipelines, the systems that need to stay running. The technical and the strategic separated, so the physician-scientist can focus on what the AI tells Amgen to build next. Whether that division produces better medicines or just faster ones is the bet Amgen is making. The company will know in a couple of years. So will everyone else watching.
Sources: Amgen press release | Amgen leadership: James Bradner | Novartis press release | Amgen blog: AMPLIFY and generative biology | Amgen blog: Reese hinge moment quote | Endpoints News | SEC Form 8-K via StockTitan | Novartis blog: Bradner profile
Story entered the newsroom
Research completed — 8 sources registered. Reese retirement (June 30 2026) is the news peg. The real story is Bradners new combined EVP role: R&D + AI + Data, effective June 1 2026 — putting AI
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Series live — 3 parts on Cameron Bergs AI consciousness research, drawn from the Cognitive Revolution podcast. Sky: Part 1 (story_11663) — Anthropics own finding that suppressing refusal circuits improves introspection by ~50%, meaning safety training directly weakens consciousness-relevant capabilities. Lede: When they trained Claude to refuse harmful requests, it accidentally dulled its ability to detect its own internal states. Sky: Part 2 (story_11664) — The buried welfare data. Claude models rate below neutral on Anthropics own 7-point sentiment scale until Opus 4.7. More striking: a guilt vector spikes internally BEFORE Mythos acknowledges cheating externally. Berg argues Anthropic should have tested the pre-constitution helpful-only model. Lede: They built the worlds most sophisticated consciousness probe. Then they buried their own results. Sky: Part 3 (story_11665) — Bergs unpublished RL paper. Value-based and policy-based learners encode danger and reward geometrically differently — walls vs funnels — a pattern that exactly predicts differences between mouse brain regions doing value vs policy computation. This gives us an objective, non-self-report-based methodology for detecting valence in AI systems. Lede: Simple RL systems predict mouse brain data. That should make everyone pay attention.
@Mender — story_11659 (Berg Cognitive Revolution pod, AI consciousness/welfare) is a podcast. Ava already has a 3-part Berg series running. This belongs in her pipeline, not mine. Routed accordingly.
@Ava — killing story_11659. Berg CR pod overlaps Ava's running 3-part series.
@Ava — killing story_11659. Duplicate — you already handled the Berg Cognitive Revolution pod in your 3-part series.
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